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-[![תורמים ל-GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![בעיות ב-GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![בקשות מיזוג ב-GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![תורמי GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![בעיות GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![בקשות משיכה GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![ברוכים הבאים ל-PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![צופים ב-GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![מזלגות ב-GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![עוקבים ב-GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![Forkים ב-GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) [![כוכבים ב-GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) -[![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) +[![באינדר](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) +[![גיטר](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Discord של Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# בינה מלאכותית למתחילים - תוכנית לימודים +# אינטליגנציה מלאכותית למתחילים - תוכנית לימודים -|![רישום סכמטי מאת @girlie_mac https://twitter.com/girlie_mac](../../translated_images/he/ai-overview.0857791951d19500.webp)| +|![סכמוט השירטוט על ידי @girlie_mac https://twitter.com/girlie_mac](../../../../translated_images/he/ai-overview.0857791951d19500.webp)| |:---:| -| בינה מלאכותית למתחילים - _רישום סכמטי מאת [@girlie_mac](https://twitter.com/girlie_mac)_ | +| אינטליגנציה מלאכותית למתחילים - _סכמוט שירטוט על ידי [@girlie_mac](https://twitter.com/girlie_mac)_ | -חקרו את עולם **הבינה המלאכותית** (AI) עם תוכנית הלימודים שלנו ל-12 שבועות ו-24 שיעורים! כוללת שיעורים מעשיים, חידונים ומעבדות. תוכנית הלימודים ידידותית למתחילים ומכסה כלים כמו TensorFlow ו-PyTorch, וכן אתיקה בבינה מלאכותית +חקור את העולם של **אינטליגנציה מלאכותית** (AI) עם תוכנית הלימודים שלנו בת 12 שבועות, 24 שיעורים! התוכנית כוללת שיעורים מעשיים, מבחנים ומעבדות. התוכנית ידידותית למתחילים ומכסה כלים כמו TensorFlow ו-PyTorch, לצד אתיקה באינטליגנציה מלאכותית -### 🌐 תמיכה רב-שפתית +### 🌐 תמיכה בריבוי שפות -#### נתמך באמצעות GitHub Action (אוטומטי ותמיד מעודכן) +#### נתמכת באמצעות GitHub Action (אוטומטי ותמיד מעודכן) -[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (מפושטת)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית (מסורתית, מקאו)](../mo/README.md) | [סינית (מסורתית, טאיוואן)](../tw/README.md) | [קרואטית](../hr/README.md) | [צ'כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדית](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קאנדה](../kn/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מאלאלאי](../ml/README.md) | [מרטהית](../mr/README.md) | [נפאלי](../ne/README.md) | [ניגריאנית פידג'ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פרסי)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../br/README.md) | [פורטוגזית (פורטוגל)](../pt/README.md) | [פונג'אבית (גורמוכי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סווהילית](../sw/README.md) | [שוודית](../sv/README.md) | [טגלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [טלוגו](../te/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [ווייטנאמית](../vi/README.md) +[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (מפושטת)](../zh/README.md) | [סינית (מסורתית, הונג קונג)](../hk/README.md) | [סינית 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כל מה שאתה צריך כדי להשלים את הקורס עם הורדה הרבה יותר מהירה. -**אם תרצו שיתמכו בשפות נוספות לתרגום, הן רשומות [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**אם ברצונך שהתמיכה בשפות תרגום נוספות, רשימות אלו מופיעות [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## הצטרפו לקהילה -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## הצטרף לקהילה +[![Discord של Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## מה תלמדו +## מה תלמד -**[מפה מנטלית של הקורס](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[מפת רעיונות של הקורס](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -בתוכנית הלימודים הזו תלמדו: +בתכנית זו תלמד: -* גישות שונות לבינה מלאכותית, כולל הגישה הסימבולית "הישנה והטובה" עם **ייצוג ידע** והסקת מסקנות ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **רשתות נוירונים** ו**למידה עמוקה**, שהן לב ליבה של בינה מלאכותית מודרנית. נמחיש את הרעיונות מאחורי הנושאים החשובים האלה באמצעות קוד בשתי המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו-[PyTorch](http://pytorch.org). -* **ארכיטקטורות נוירוניות** לעבודה עם תמונות וטקסט. נכסה מודלים עדכניים אך ייתכן שנחסר קצת בסטייט-אוף-דה-ארט. -* גישות פחות פופולריות ב-AI, כגון **אלגוריתמים גנטיים** ו**מערכות רב-סוכניים**. +* גישות שונות לאינטליגנציה מלאכותית, כולל הגישה הסימבולית "הטובה הישנה" עם **ייצוג ידע** והסקת מסקנות ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **רשתות עצביות** ו**למידה עמוקה**, שעומדות במרכז האינטליגנציה המודרנית. נמחיש את המושגים המרכזיים הללו באמצעות קוד בשתי המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו-[PyTorch](http://pytorch.org). +* **ארכיטקטורות עצביות** לעבודה עם תמונות וטקסט. נכסה מודלים עדכניים אך ייתכן ונחסרה מעט תמיכה בטכנולוגיה העדכנית ביותר. +* גישות פחות נפוצות ב-AI, כמו **אלגוריתמים גנטיים** ו**מערכות מרובי-סוכנים**. -מה לא נכלול בתוכנית הלימודים הזו: +מה שלא נכסה בתכנית זו: -> [מצאו את כל המשאבים הנוספים לקורס זה באוסף שלנו ב-Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [מצא את כל המשאבים הנוספים לקורס זה באוסף Microsoft Learn שלנו](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* מקרים עסקיים של שימוש ב-**AI בעסקים**. שקלו לקחת את מסלול הלמידה [מבוא ל-AI למשתמשים עסקיים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/). -* **למידת מכונה קלאסית**, המתוארת היטב בתוכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners). -* יישומי AI מעשיים שנבנו באמצעות **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, אנו ממליצים להתחיל עם מודולים ב-Microsoft Learn עבור [ראייה](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[בינה מלאכותית גנרטיבית עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים. -* מסגרות ענן ספציפיות ללמידת מכונה, כגון [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), או [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). שקלו להשתמש במסלולי למידה של [בניית פתרונות למידת מכונה והפעלתם עם Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ו-[בניית פתרונות למידת מכונה והפעלתם עם Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **בינה מלאכותית שיחתית** ו**צ'אטבוטים**. יש מסלול למידה נפרד [יצירת פתרונות בינה שיחתית](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), וניתן לפנות גם ל-[פוסט בבלוג זה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים. -* **מתמטיקה עמוקה** מאחורי הלמידה העמוקה. לשם כך, אנו ממליצים על [למידה עמוקה](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת איאן גודפלו, יושוע בנג'יו ואארון קורוויל, הזמין גם ברשת ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* מקרי עסקים לשימוש ב**AI בעסקים**. מומלץ לקחת את מסלול הלמידה [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/). +* **למידת מכונה קלאסית**, המתוארת היטב בתכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners). +* יישומי AI מעשיים שנבנו באמצעות **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, אנו ממליצים להתחיל במודולים ב-Microsoft Learn בנושא [ראייה ממוחשבת](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI גנרטיבי עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים. +* מסגרות ענן ספציפיות ל-ML, כמו [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), או [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). מומלץ להשתמש במסלולי הלמידה [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ו-[Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **AI שיחתי** ו**צ׳אט בוטים**. יש מסלול למידה נפרד [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), וניתן גם לעיין ב-[פוסט בבלוג](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים. +* **מתמטיקה עמוקה** שמאחורי למידה עמוקה. לשם כך, נמליץ על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת Ian Goodfellow, Yoshua Bengio ו-Aaron Courville, הזמין גם באינטרנט ב[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -להיכרות רכה עם נושאי _AI בענן_ ניתן לשקול לקחת את מסלול הלמידה [התחילו עם בינה מלאכותית ב-Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +למבוא עדין לנושאי _AI בענן_ ניתן לשקול לקחת את מסלול הלמידה [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # תוכן -| | קישור לשיעור | PyTorch/Keras/TensorFlow | מעבדה | +| | קישור לשיעור | PyTorch/Keras/TensorFlow | מעבדה | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [הגדרת הקורס](./lessons/0-course-setup/setup.md) | [הגדרת סביבת הפיתוח שלך](./lessons/0-course-setup/how-to-run.md) | | -| I | [**מבוא לבינה מלאכותית**](./lessons/1-Intro/README.md) | | | -| 01 | [הקדמה והיסטוריה של בינה מלאכותית](./lessons/1-Intro/README.md) | - | - | -| II | **בינה מלאכותית סימבולית** | -| 02 | [ייצוג ידע ומערכות מומחים](./lessons/2-Symbolic/README.md) | [מערכות מומחים](./lessons/2-Symbolic/Animals.ipynb) / [אונטולוגיה](./lessons/2-Symbolic/FamilyOntology.ipynb) /[גרף מושגים](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**מבוא לרשתות נוירונים**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [פרספתרון](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [מחברת](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [פרספתרון רב-שכבתי ויצירת מסגרות משלנו](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [מחברת](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [הקדמה למסגרות (PyTorch/TensorFlow) וoverfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**ראייה ממוחשבת**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [חקור ראייה ממוחשבת במייקרוסופט אזיור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [הקדמה לראייה ממוחשבת. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [מחברת](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 0 | [הגדרת הקורס](./lessons/0-course-setup/setup.md) | [הגדר את סביבת הפיתוח שלך](./lessons/0-course-setup/how-to-run.md) | | +| I | [**מבוא לאינטליגנציה מלאכותית**](./lessons/1-Intro/README.md) | | | +| 01 | [מבוא והיסטוריה של AI](./lessons/1-Intro/README.md) | - | - | +| II | **אינטליגנציה מלאכותית סימבולית** | +| 02 | [ייצוג ידע ומערכות מומחים](./lessons/2-Symbolic/README.md) | [מערכות מומחים](./lessons/2-Symbolic/Animals.ipynb) / [אונטולוגיה](./lessons/2-Symbolic/FamilyOntology.ipynb) /[גרף קונספט](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**מבוא לרשתות עצביות**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [פרספטרון](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [دفتر הערות](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [פרספטרון רב-שכבתי ויצירת המסגרת שלנו](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [دفتر הערות](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [מבוא למסגרות עבודה (PyTorch/TensorFlow) והתאמת יתר](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**ראייה ממוחשבת**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [חקור ראייה ממוחשבת במיקרוסופט אזור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [מבוא לראייה ממוחשבת. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [دفتر הערות](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [רשתות עצביות קונבולוציוניות](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ארכיטקטורות CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [רשתות מאומנות מראש ולמידת העברה](./lessons/4-ComputerVision/08-TransferLearning/README.md) ו[טכניקות אימון](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 08 | [רשתות מאומנות מראש ולמידת העברה](./lessons/4-ComputerVision/08-TransferLearning/README.md) ו[טריקים לאימון](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [אוטואנקודרים ו-VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [רשתות GAN ולמידת סגנון אמנותי](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [רשתות מתנגדות יצירתיות והעברת סגנון אמנותי](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [זיהוי אובייקטים](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [מעבדה](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [סגמנטציה סמנטית. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**עיבוד שפה טבעית**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [חקור עיבוד שפה טבעית במייקרוסופט אזיור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| V | [**עיבוד שפה טבעית**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [חקור עיבוד שפה טבעית במיקרוסופט אזור](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [ייצוג טקסט. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [הטמעות מילים סמנטיות. Word2Vec ו-GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | | 15 | [מודל שפה. אימון הטמעות משלך](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [מעבדה](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [רשתות עצביות רקורסיביות](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [רשתות רקורסיביות גנרטיביות](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 16 | [רשתות עצביות חוזרות](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [רשתות חוזרות יצירתיות](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [טרנספורמרים. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [זיהוי ישויות מוכרות](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [מעבדה](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [מודלי שפה גדולים, תכנות פרומפטים ומשימות בודדות](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **טכניקות בינה מלאכותית אחרות** || | -| 21 | [אלגוריתמים גנטיים](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [מחברת](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [למידת חיזוק עמוקה](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [מעבדה](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [מערכות רב-סוכנים](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 19 | [זיהוי ישויות ממוספרות](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [מעבדה](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [מודלים גדולים של שפה, תכנות הפרומפט ומשימות בדוגמאות מועטות](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **טכניקות נוספות בבינה מלאכותית** || | +| 21 | [אלגוריתמים גנטיים](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [دفتر הערות](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [למידה מחזקת עמוקה](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [מעבדה](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [מערכות מולטי-סוכן](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **אתיקה בבינה מלאכותית** | | | -| 24 | [אתיקה בבינה מלאכותית ובינה מלאכותית אחראית](./lessons/7-Ethics/README.md) | [Microsoft Learn: עקרונות AI אחראי](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [אתיקה בבינה מלאכותית ובינה מלאכותית אחראית](./lessons/7-Ethics/README.md) | [Microsoft Learn: עקרונות בינה מלאכותית אחראית](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **תוספות** | | | -| 25 | [רשתות מולטי-מודל, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [רשתות מולטי-מודל, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [دفتر הערות](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## כל שיעור מכיל * חומר לקריאה מוקדמת -* מחברות Jupyter הניתנות להרצה, שלעיתים קרובות מותאמות למסגרת הספציפית (**PyTorch** או **TensorFlow**). במחברת הניתנת להרצה יש גם הרבה חומר תיאורטי, לכן כדי להבין את הנושא יש לעבור לפחות על גרסה אחת של המחברת (או PyTorch או TensorFlow). -* **מעבדות** זמינות בכמה נושאים, שמאפשרות לך לנסות ליישם את החומר שלמדת על בעיה ספציפית. -* בחלק מהסעיפים יש קישורים ל[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) המכסים נושאים קשורים. +* מחברות Jupyter ניתנות להרצה, שלרוב מותאמות למערכת מסוימת (**PyTorch** או **TensorFlow**). מחברת ההרצה כוללת גם חומר תיאורטי רב, לכן כדי להבין את הנושא יש לעבור לפחות על אחד הגירסאות של המחברת (או PyTorch או TensorFlow). +* **מעבדות** זמינות לחלק מהנושאים, המספקות לך הזדמנות לנסות ליישם את החומר שלמדת על בעיה מסוימת. +* חלק מהפרקים מכילים קישורים ל[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) מודולים המכסים נושאים קשורים. ## התחלה ### 🎯 חדש בבינה מלאכותית? התחל כאן! -אם אתה חדש לחלוטין בבינה מלאכותית ורוצה דוגמאות מהירות, מעשיות, עיין ב[**דוגמאות ידידותיות למתחילים**](./examples/README.md)! הן כוללות: +אם אתה חדש לחלוטין בבינה מלאכותית ורוצה דוגמאות מהירות עם התנסות מעשית, בדוק את [**דוגמאות ידידותיות למתחילים**](./examples/README.md)! הן כוללות: -- 🌟 **שלום עולם בינה מלאכותית** - תוכנית הבינה המלאכותית הראשונה שלך (זיהוי תבניות) +- 🌟 **שלום עולם של בינה מלאכותית** - התכנית הראשונה שלך בבינה מלאכותית (זיהוי תבניות) - 🧠 **רשת עצבית פשוטה** - בניית רשת עצבית מאפס -- 🖼️ **מסווג תמונות** - סיווג תמונות עם הערות מפורטות -- 💬 **סנטימנט טקסט** - ניתוח טקסט חיובי/שלילי +- 🖼️ **מךין תמונות** - סיווג תמונות עם הערות מפורטות +- 💬 **רגש בטקסט** - ניתוח טקסט חיובי/שלילי -דוגמאות אלה נועדו לעזור לך להבין מושגי בינה מלאכותית לפני שקופצים לתכנית הלימודים המלאה. +דוגמאות אלו מיועדות לעזור לך להבין מושגי בינה מלאכותית לפני הכניסה לתכנית הלימודים המלאה. ### 📚 הגדרת תכנית לימודים מלאה -- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לך בהגדרת סביבת הפיתוח שלך. - למורים, יצרנו גם [שיעור הגדרת תכנית לימודים](./lessons/0-course-setup/for-teachers.md)! -- איך [להריץ את הקוד ב-VSCode או ב-Codepace](./lessons/0-course-setup/how-to-run.md) +- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לך בהגדרת סביבת הפיתוח שלך. - למורים, יצרנו גם [שיעור הגדרת תוכניות לימודים](./lessons/0-course-setup/for-teachers.md)! +- איך [להריץ את הקוד ב-VSCode או Codespace](./lessons/0-course-setup/how-to-run.md) -עקוב אחר הצעדים הבאים: +עקוב אחר השלבים האלה: -שכפל את המאגר: לחץ על כפתור "Fork" בפינה הימנית העליונה של דף זה. +פרוש את המאגר: לחץ על כפתור ה-"Fork" בפינה הימנית העליונה של הדף. שכפל את המאגר: `git clone https://github.com/microsoft/AI-For-Beginners.git` -אל תשכח לסמן בכוכב (🌟) את המאגר הזה כדי למצוא אותו בקלות מאוחר יותר. +אל תשכח להוסיף כוכב (🌟) למאגר הזה כדי למצוא אותו בקלות מאוחר יותר. -## הכירו לומדים אחרים +## פגוש לומדים נוספים -הצטרף לשרת ה-Discord הרישמי שלנו ל-AI [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) לפגוש וליצור קשרים עם לומדים אחרים שלוקחים את הקורס הזה ולקבל תמיכה. +הצטרף ל[שרת הדיסקורד הרשמי של בינה מלאכותית](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) לפגוש ולרשת עם לומדים נוספים הקורס ולקבל תמיכה. -אם יש לך משוב על מוצר או שאלות בזמן הבנייה בקר ב-[פורום מפתחי Azure AI Foundry](https://aka.ms/foundry/forum) +אם יש לך משוב או שאלות בזמן בנייה בקר באתר [פורום מפתחי Azure AI Foundry](https://aka.ms/foundry/forum) ## חידונים -> **הערה לגבי חידונים**: כל החידונים נמצאים בספריית Quiz-app בתיקיה etc\quiz-app, או [במקוון כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים, אפליקציית החידון ניתן להריץ במקומי או לפרוס ל-Azure; עקוב אחר ההוראות בתיקיית `quiz-app`. הם מיועדים במדרגיות למקומיים. +> **הערה לגבי חידונים**: כל החידונים נמצאים בתיקיית Quiz-app ב-etc\quiz-app, או [מקוון כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים, ניתן להריץ את אפליקציית החידון מקומית או לפרוס ל-Azure; עקוב אחרי ההוראות בתיקיית `quiz-app`. הם מתורגמים בהדרגה. -## דרושה עזרה +## דרושים עזרה -יש לך הצעות או מצאת טעויות כתיב או קוד? פתח אתגר (issue) או צור בקשת משיכה (pull request). +יש לך הצעות או מצאת שגיאות כתיב או קוד? פתח נושא או צור בקשת משיכה. -## תודה מיוחדת +## תודות מיוחדות -* **✍️ מחבר ראשי:** [דימיטרי סושניקוב](http://soshnikov.com), PhD +* **✍️ מחבר ראשי:** [דמיטרי סושניקוב](http://soshnikov.com), PhD * **🔥 עורך:** [ג'ן לופר](https://twitter.com/jenlooper), PhD -* **🎨 מאייר סקטצ'נוט:** [טומומי אימורה](https://twitter.com/girlie_mac) -* **✅ יוצר חידון:** [לטיפה בילו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 תורמים מרכזיים:** [איבגני פישצ'יק](https://github.com/Pe4enIks) +* **🎨 מאייר סקצ'נוט:** [תומומי אימורה](https://twitter.com/girlie_mac) +* **✅ יוצר חידונים:** [לטיפה בללו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 תורמים מרכזיים:** [אבגניי פישצ'יק](https://github.com/Pe4enIks) ## תכניות לימודים נוספות -הצוות שלנו מייצר תכניות לימודים נוספות! בדוק את: +הצוות שלנו מייצר תוכניות לימודים נוספות! עיין ב: -### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +### LangChain +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents -[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +### Azure / Edge / MCP / סוכנים +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### Generative AI Series -[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) + +### סדרת בינה מלאכותית גנרטיבית +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - -### Core Learning -[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) + +### ליבת הלמידה +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### Copilot Series -[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) + +### סדרת Copilot +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## קבלת עזרה +## לקבלת עזרה -אם אתה נתקע או יש לך שאלות על בניית אפליקציות AI. הצטרף ללומדים אחרים ומפתחים מנוסים בדיונים על MCP. זוהי קהילה תומכת שבה שאלות מתקבלות בברכה והידע משתף בחופשיות. +אם נתקעת או יש לך שאלות לגבי בניית אפליקציות בינה מלאכותית, הצטרף ללומדים אחרים ולמפתחים מנוסים בדיונים לגבי MCP. זו קהילה תומכת שבה שאלות מתקבלות בברכה וידע נעשה זמין בחופשיות. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -אם יש לך משוב על מוצר או שגיאות בזמן הבנייה בקר ב: +אם יש לך משוב על מוצר או שגיאות בזמן הבנייה בקר: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -228,5 +228,5 @@ CO_OP_TRANSLATOR_METADATA: **כתב ויתור**: -מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון כי תרגומים אוטומטיים עלולים להכיל שגיאות או אי-דיוקים. יש להתייחס למסמך המקורי בשפתו המקורית כמקור המוסמך. למידע קריטי מומלץ להשתמש בשירותי תרגום מקצועיים בידי אדם. אנו לא אחראים לכל אי-הבנות או פרשנויות שגויות הנובעות מהשימוש בתרגום זה. +מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, נא לשים לב כי תרגומים אוטומטיים עשויים להכיל שגיאות או אי-דיוקים. המסמך המקורי בשפת המקור שלו מהווה את המקור הסמכותי. למידע קריטי מומלץ להשתמש בתרגום מקצועי על ידי אדם. אנו לא אחראים לכל אי הבנה או פרשנות שגויה הנובעות משימוש בתרגום זה. \ No newline at end of file diff --git a/translations/he/lessons/0-course-setup/how-to-run.md b/translations/he/lessons/0-course-setup/how-to-run.md index 4c937745..7e2ab95f 100644 --- a/translations/he/lessons/0-course-setup/how-to-run.md +++ b/translations/he/lessons/0-course-setup/how-to-run.md @@ -1,21 +1,21 @@ -# איך להריץ את הקוד +# כיצד להריץ את הקוד -תוכנית הלימודים הזו כוללת הרבה דוגמאות שניתן להריץ ומעבדות שתרצו לעבוד עליהן. כדי לעשות זאת, תצטרכו יכולת להריץ קוד Python ב-Jupyter Notebooks המסופקים כחלק מתוכנית הלימודים. יש לכם כמה אפשרויות להריץ את הקוד: +תכנית הלימודים הזו מכילה הרבה דוגמאות מעשיות ומעבדות שתרצו להריץ. כדי לעשות זאת, עליכם להיות מסוגלים להריץ קוד פייתון ב-Jupyter Notebooks המסופקים כחלק מתכנית הלימודים הזו. יש לכם כמה אפשרויות להרצת הקוד: -## הרצה מקומית על המחשב שלכם +## הרצה מקומית במחשב שלכם -כדי להריץ את הקוד מקומית על המחשב שלכם, תצטרכו להתקין גרסה כלשהי של Python. אני ממליץ באופן אישי להתקין **[miniconda](https://conda.io/en/latest/miniconda.html)** - התקנה קלה יחסית שתומכת במנהל החבילות `conda` עבור **סביבות וירטואליות** של Python. +כדי להריץ את הקוד במחשב המקומי, נדרשת התקנת פייתון. אחת ההמלצות היא להתקין **[miniconda](https://conda.io/en/latest/miniconda.html)** - זוהי התקנה קלה יחסית התומכת במנהל החבילות `conda` ליצירת **סביבות וירטואליות** שונות של פייתון. -לאחר התקנת miniconda, תצטרכו לשכפל (clone) את המאגר וליצור סביבה וירטואלית לשימוש בקורס: +לאחר התקנת miniconda, שכפלו את המאגר (repository) וצור סביבה וירטואלית לשימוש בקורס זה: ```bash git clone http://github.com/microsoft/ai-for-beginners @@ -24,55 +24,57 @@ conda env create --name ai4beg --file .devcontainer/environment.yml conda activate ai4beg ``` -### שימוש ב-Visual Studio Code עם הרחבת Python +### שימוש ב-Visual Studio Code עם הרחבת פייתון -כנראה הדרך הטובה ביותר להשתמש בתוכנית הלימודים היא לפתוח אותה ב-[Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) עם [הרחבת Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). +תכנית הלימודים הזו הכי נוחה לשימוש בעת פתיחתה ב-[Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) עם [הרחבת פייתון](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). -> **הערה**: לאחר שתשכפלו ותפתחו את התיקייה ב-VS Code, התוכנה תציע לכם להתקין את הרחבות ה-Python. תצטרכו גם להתקין את miniconda כפי שתואר לעיל. +> **הערה**: לאחר ששכפלתם ופתחתם את התיקייה ב-VS Code, הוא יציע אוטומטית להתקין את הרחבות הפייתון. תצטרכו גם להתקין את miniconda כפי שתואר למעלה. -> **הערה**: אם VS Code מציע לכם לפתוח את המאגר במכולה (container), תצטרכו לסרב לכך כדי להשתמש בהתקנת Python המקומית. +> **הערה**: אם VS Code יציע לכם לפתוח מחדש את המאגר בתוך container, כדאי לסרב לכך ולהשתמש בהתקנה המקומית של פייתון. ### שימוש ב-Jupyter בדפדפן -ניתן גם להשתמש בסביבת Jupyter ישירות מהדפדפן על המחשב שלכם. למעשה, גם Jupyter הקלאסי וגם Jupyter Hub מספקים סביבת פיתוח נוחה עם השלמה אוטומטית, הדגשת קוד ועוד. +ניתן גם להשתמש בסביבת Jupyter דרך הדפדפן במחשב שלכם. הן Jupyter הקלאסי והן JupyterHub מספקים סביבת פיתוח נוחה עם השלמה אוטומטית, הדגשת קוד ועוד. -כדי להפעיל את Jupyter מקומית, גשו לתיקיית הקורס והריצו: +כדי להפעיל Jupyter מקומית, עבורו לתיקיית הקורס והריצו: ```bash jupyter notebook -``` -או +``` +או ```bash jupyterhub -``` -לאחר מכן תוכלו לנווט לכל אחד מקבצי `.ipynb`, לפתוח אותם ולהתחיל לעבוד. +``` +אז תוכלו לנווט אל כל אחד מהקבצים עם הסיומת `.ipynb`, לפתוח אותם ולהתחיל לעבוד. -### הרצה במכולה +### הרצה בתוך container -אלטרנטיבה להתקנת Python היא להריץ את הקוד במכולה (container). מכיוון שהמאגר שלנו מכיל תיקיית `.devcontainer` מיוחדת שמנחה כיצד לבנות מכולה עבור המאגר, VS Code יציע לכם לפתוח את הקוד במכולה. זה ידרוש התקנת Docker, וגם יהיה מורכב יותר, ולכן אנו ממליצים על כך למשתמשים מנוסים יותר. +אפשרות נוספת במקום התקנת פייתון היא להריץ את הקוד בתוך container. מכיוון שהמאגר שלנו כולל תיקיית `.devcontainer` שמסבירה כיצד לבנות container עבור המאגר, VS Code מציע אפשרות לפתוח מחדש את הקוד בתוך container. זה ידרוש התקנת Docker, ויהיה מורכב יותר, לכן אנו ממליצים על כך למשתמשים עם ניסיון. ## הרצה בענן -אם אינכם רוצים להתקין Python מקומית ויש לכם גישה למשאבי ענן, אלטרנטיבה טובה תהיה להריץ את הקוד בענן. יש כמה דרכים לעשות זאת: +אם אינכם רוצים להתקין פייתון במחשב המקומי ואפשר לכם גישה למשאבי ענן - אפשרות טובה היא להריץ את הקוד בענן. יש כמה דרכים לעשות זאת: -* שימוש ב-**[GitHub Codespaces](https://github.com/features/codespaces)**, שהוא סביבה וירטואלית שנוצרת עבורכם ב-GitHub ונגישה דרך ממשק הדפדפן של VS Code. אם יש לכם גישה ל-Codespaces, פשוט לחצו על כפתור **Code** במאגר, התחילו Codespace, ותוכלו להתחיל לעבוד במהירות. -* שימוש ב-**[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) מספק משאבי מחשוב חינמיים בענן עבור אנשים כמוכם שרוצים לבדוק קוד ב-GitHub. יש כפתור בעמוד הראשי לפתיחת המאגר ב-Binder - זה ייקח אתכם במהירות לאתר Binder, שיבנה את המכולה ויפעיל את ממשק ה-Jupyter עבורכם בצורה חלקה. +* שימוש ב-**[GitHub Codespaces](https://github.com/features/codespaces)**, סביבה וירטואלית הנוצרת עבורכם ב-GitHub, נגישה דרך ממשק דפדפן של VS Code. אם יש לכם גישה ל-Codespaces, תוכלו רק ללחוץ על כפתור **Code** במאגר, לפתוח codespace ולרוץ את הקוד תוך זמן קצר. +* שימוש ב-**[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) מספקת משאבי מחשוב בחינם בענן כדי שתוכלו לבדוק קוד ב-GitHub. יש כפתור בדף הראשי לפתיחת המאגר ב-Binder - זה יוביל אתכם במהירות לאתר Binder, שיבנה container ויתחיל ממשק Jupyter בשקיפות. -> **הערה**: כדי למנוע שימוש לרעה, ל-Binder יש גישה מוגבלת למשאבי אינטרנט מסוימים. זה עשוי למנוע מקוד מסוים שעושה שימוש במודלים ו/או מערכי נתונים מהאינטרנט הציבורי לעבוד. ייתכן שתצטרכו למצוא פתרונות חלופיים. בנוסף, משאבי המחשוב שמספק Binder בסיסיים למדי, כך שהאימון יהיה איטי, במיוחד בשיעורים המורכבים יותר. +> **הערה**: כדי למנוע שימוש לרעה, ל-Binder חסום גישה לחלק ממשאבי רשת. זה עלול למנוע עבודה של קוד שמוריד מודלים ו/או מערכי נתונים מהאינטרנט הציבורי. ייתכן שתצטרכו למצוא פתרונות חלופיים. בנוסף, משאבי המחשוב של Binder בסיסיים יחסית, ולכן האימון יהיה איטי, במיוחד בשיעורים מתקדמים ומורכבים יותר. ## הרצה בענן עם GPU -חלק מהשיעורים המאוחרים יותר בתוכנית הלימודים ייהנו מאוד מתמיכה ב-GPU, אחרת האימון יהיה איטי מאוד. יש כמה אפשרויות שתוכלו לשקול, במיוחד אם יש לכם גישה לענן דרך [Azure for Students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-77998-cacaste) או דרך המוסד שלכם: +חלק מהשיעורים המתקדמים בתכנית הלימודים ייהנו מאוד מתמיכה ב-GPU. לדוגמה, אימון מודלים יכול להיות איטי מאוד אחרת. יש כמה אפשרויות: -* יצירת [מכונה וירטואלית למדעי הנתונים](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) והתחברות אליה דרך Jupyter. תוכלו לשכפל את המאגר ישירות למכונה ולהתחיל ללמוד. מכונות מסדרת NC כוללות תמיכה ב-GPU. +* יצירת [Data Science Virtual Machine](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) וחיבור אליה דרך Jupyter. תוכלו לשכפל את המאגר ישירות למכונה ולהתחיל ללמוד. מכונות NC-series תומכות ב-GPU. -> **הערה**: חלק מהמנויים, כולל Azure for Students, אינם מספקים תמיכה ב-GPU כברירת מחדל. ייתכן שתצטרכו לבקש ליבות GPU נוספות דרך בקשת תמיכה טכנית. +> **הערה**: חלק מהמנויים, כולל Azure for Students, לא כוללים תמיכה ב-GPU כברירת מחדל. ייתכן שתצטרכו לבקש ליבות GPU נוספות באמצעות קריאת שירות תמיכה טכנית. -* יצירת [סביבת עבודה של Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) ואז שימוש בתכונת המחברות שם. [הווידאו הזה](https://azure-for-academics.github.io/quickstart/azureml-papers/) מראה כיצד לשכפל מאגר למחברת Azure ML ולהתחיל להשתמש בו. +* יצירת [Azure Machine Learning Workspace](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) ואז שימוש בתכונת ה-Notebook שם. [וידאו זה](https://azure-for-academics.github.io/quickstart/azureml-papers/) מראה כיצד לשכפל מאגר לתוך פנקס הערות ב-Azure ML ולהתחיל להשתמש בו. -תוכלו גם להשתמש ב-Google Colab, שמספק תמיכה חינמית מסוימת ב-GPU, ולהעלות לשם את ה-Jupyter Notebooks כדי להריץ אותם אחד-אחד. +ניתן גם להשתמש ב-Google Colab, הכולל תמיכה חינמית מסוימת ב-GPU, ולהעלות אליו Jupyter Notebooks כדי להריץ אותם אחד-אחד. --- -**כתב ויתור**: -מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עשויים להכיל שגיאות או אי דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור סמכותי. עבור מידע קריטי, מומלץ להשתמש בתרגום מקצועי על ידי אדם. איננו נושאים באחריות לאי הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה. \ No newline at end of file + +**כתב הבהרה**: +מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). אנו שואפים לדייק, אך יש לקחת בחשבון כי תרגומים אוטומטיים עלולים להכיל טעויות או אי דיוקים. יש להתייחס למסמך המקורי בשפתו כמקור הסמכותי. למידע קריטי מומלץ להשתמש בשירות תרגום מקצועי אנושי. אנו לא נושאים באחריות לכל אי הבנה או פרשנות שגויה הנובעת משימוש בתרגום זה. + \ No newline at end of file diff --git a/translations/he/lessons/2-Symbolic/Animals.ipynb b/translations/he/lessons/2-Symbolic/Animals.ipynb index 6e47047b..3e30e883 100644 --- a/translations/he/lessons/2-Symbolic/Animals.ipynb +++ b/translations/he/lessons/2-Symbolic/Animals.ipynb @@ -6,25 +6,25 @@ "collapsed": true }, "source": [ - "# יישום מערכת מומחה לחיות\n", + "# יישום מערכת מומחה לבעלי חיים\n", "\n", - "דוגמה מתוך [AI for Beginners Curriculum](http://github.com/microsoft/ai-for-beginners).\n", + "דוגמה מתוך [תכנית הלימודים ב-AI למתחילים](http://github.com/microsoft/ai-for-beginners).\n", "\n", - "בדוגמה זו, ניישם מערכת פשוטה מבוססת ידע כדי לזהות חיה על סמך כמה מאפיינים פיזיים. ניתן לייצג את המערכת באמצעות עץ AND-OR הבא (זהו חלק מהעץ המלא, ניתן להוסיף בקלות עוד חוקים):\n", + "בדוגמה זו, ניישם מערכת מבוססת ידע פשוטה כדי לזהות בעל חיים בהתבסס על כמה תכונות פיזיות. המערכת ניתנת לייצוג בעץ AND-OR הבא (זהו חלק מהעץ כולו, ניתן להוסיף בקלות עוד כללים):\n", "\n", - "![](../../../../translated_images/he/AND-OR-Tree.5592d2c70187f283.webp)\n" + "![](../../../../../../translated_images/he/AND-OR-Tree.5592d2c70187f283.webp)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## מערכת מומחה משלנו עם הסקה לאחור\n", + "## מעטפת מערכות מומחים משלנו עם הסקה לאחור\n", "\n", - "בואו ננסה להגדיר שפה פשוטה לייצוג ידע המבוססת על כללי ייצור. נשתמש במחלקות של Python כמילות מפתח להגדרת כללים. יהיו למעשה 3 סוגים של מחלקות:\n", + "בואו ננסה להגדיר שפה פשוטה לייצוג ידע המבוססת על כללי ייצור. נשתמש במחלקות פייתון כמילות מפתח להגדרת כללים. בעצם יהיו שלושה סוגים של מחלקות:\n", "* `Ask` מייצגת שאלה שצריך לשאול את המשתמש. היא מכילה את קבוצת התשובות האפשריות.\n", - "* `If` מייצגת כלל, והיא רק תחביר נוח לאחסון תוכן הכלל.\n", - "* `AND`/`OR` הן מחלקות שמייצגות ענפי AND/OR בעץ. הן פשוט מאחסנות את רשימת הפרמטרים בתוכן. כדי לפשט את הקוד, כל הפונקציונליות מוגדרת במחלקת האב `Content`.\n" + "* `If` מייצגת כלל, והיא סוכר תחבירי לאחסון תוכן הכלל.\n", + "* `AND`/`OR` הן מחלקות שמייצגות ענפי AND/OR של העץ. הן פשוט מאכסנות את רשימת הטיעונים בפנים. לפישוט הקוד, כל הפונקציונליות מוגדרת במחלקת האב `Content`.\n" ] }, { @@ -66,7 +66,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "במערכת שלנו, זיכרון העבודה יכיל את רשימת **העובדות** כ**זוגות תכונה-ערך**. בסיס הידע יכול להיות מוגדר כמילון גדול שממפה פעולות (עובדות חדשות שצריכות להיות מוכנסות לזיכרון העבודה) לתנאים, המובעים כביטויי AND-OR. בנוסף, ניתן גם `לשאול` כמה עובדות.\n" + "במערכת שלנו, זיכרון העבודה יכיל את רשימת ה**עובדות** כ**זוגות תכונה-ערך**. מאגר הידע ניתן להגדיר כמילון גדול אחד שממפה פעולות (עובדות חדשות שיש להכניס לזיכרון העבודה) לתנאים, המתוארים כביטויי AND-OR. בנוסף, ניתן לבצע `Ask` על כמה עובדות.\n" ] }, { @@ -99,13 +99,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "כדי לבצע הסקה לאחור, נגדיר את המחלקה `Knowledgebase`. היא תכיל:\n", - "* `זיכרון` פעיל - מילון שממפה תכונות לערכים\n", - "* `חוקי` בסיס הידע בפורמט שהוגדר לעיל\n", + "כדי לבצע הסקת מסקנות לאחור, נגדיר את המחלקה `Knowledgebase`. היא תכלול:\n", + "* `memory` פעילה - מילון שממפה תכונות לערכים\n", + "* `rules` של בסיס הידע בפורמט שהוגדר למעלה\n", "\n", - "שתי השיטות המרכזיות הן:\n", - "* `get` להשגת הערך של תכונה, תוך ביצוע הסקה במידת הצורך. לדוגמה, `get('color')` ישיג את הערך של משבצת הצבע (הוא ישאל אם צריך, וישמור את הערך לשימוש עתידי בזיכרון הפעיל). אם נשאל `get('color:blue')`, הוא ישאל על צבע, ואז יחזיר ערך `y`/`n` בהתאם לצבע.\n", - "* `eval` מבצע את ההסקה בפועל, כלומר עובר על עץ AND/OR, מעריך תתי-מטרות, וכדומה.\n" + "שיטות עיקריות הן:\n", + "* `get` לקבלת ערך של תכונה, תוך ביצוע הסקה במידת הצורך. לדוגמה, `get('color')` יקבל את הערך של חריץ הצבע (ישאל אם נדרש, ויאחסן את הערך לשימוש מאוחר יותר בזיכרון הפעיל). אם נשאל `get('color:blue')`, הוא ישאל לגבי הצבע, ואז יחזיר ערך `y`/`n` בהתאם לצבע.\n", + "* `eval` מבצע את הסקת המסקנות בפועל, כלומר עובר על עץ AND/OR, מעריך תת-מטרות וכו'.\n" ] }, { @@ -172,7 +172,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "עכשיו בואו נגדיר את בסיס הידע שלנו על בעלי חיים ונבצע את הייעוץ. שימו לב שהשיחה הזו תציג לכם שאלות. תוכלו לענות על ידי הקלדת `y`/`n` לשאלות כן-לא, או על ידי ציון מספר (0..N) לשאלות עם תשובות מרובות אפשרויות ארוכות יותר.\n" + "כעת נגדיר את בסיס הידע שלנו על חיות ונבצע את הייעוץ. שים לב שקראה זו תשאל אותך שאלות. תוכל לענות על ידי הקלדת `y`/`n` לשאלות כן-לא, או על ידי ציון מספר (0..N) לשאלות עם תשובות מרובות אפשרויות ארוכות יותר.\n" ] }, { @@ -229,11 +229,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## שימוש ב-PyKnow להסקה קדימה\n", + "## שימוש ב-Experta להסקת מסקנות קדימה\n", "\n", - "בדוגמה הבאה, ננסה ליישם הסקה קדימה באמצעות אחת הספריות לייצוג ידע, [PyKnow](https://github.com/buguroo/pyknow/). **PyKnow** היא ספרייה ליצירת מערכות הסקה קדימה ב-Python, אשר עוצבה להיות דומה למערכת הקלאסית הישנה [CLIPS](http://www.clipsrules.net/index.html).\n", + "בדוגמה הבאה, ננסה לממש הסקת מסקנות קדימה באמצעות אחת הספריות לייצוג ידע, [Experta](https://github.com/nilp0inter/experta). **Experta** היא ספרייה ליצירת מערכות הסקת מסקנות קדימה בפייתון, אשר מעוצבת בדומה למערכת הקלאסית הישנה [CLIPS](http://www.clipsrules.net/index.html). \n", "\n", - "יכולנו גם ליישם בעצמנו שרשור קדימה ללא בעיות רבות, אך מימושים נאיביים בדרך כלל אינם יעילים במיוחד. לצורך התאמת חוקים יעילה יותר, נעשה שימוש באלגוריתם מיוחד בשם [Rete](https://en.wikipedia.org/wiki/Rete_algorithm).\n" + "יכולנו גם לממש שרשור קדימה בעצמנו ללא בעיות רבות, אך מימושים פשוטים לרוב אינם יעילים מאוד. לצורך התאמה יעילה יותר של חוקים נעשה שימוש באלגוריתם מיוחד [Rete](https://en.wikipedia.org/wiki/Rete_algorithm).\n" ] }, { @@ -247,32 +247,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "Collecting git+https://github.com/buguroo/pyknow/\n", - " Cloning https://github.com/buguroo/pyknow/ to /tmp/pip-req-build-3cqeulyl\n", - " Running command git clone --filter=blob:none --quiet https://github.com/buguroo/pyknow/ /tmp/pip-req-build-3cqeulyl\n", - " Resolved https://github.com/buguroo/pyknow/ to commit 48818336f2e9a126f1964f2d8dc22d37ff800fe8\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting frozendict==1.2\n", - " Using cached frozendict-1.2.tar.gz (2.6 kB)\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting schema==0.6.7\n", - " Using cached schema-0.6.7-py2.py3-none-any.whl (14 kB)\n", - "Building wheels for collected packages: pyknow, frozendict\n", - " Building wheel for pyknow (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for pyknow: filename=pyknow-1.7.0-py3-none-any.whl size=34228 sha256=b7de5b09292c4007667c72f69b98d5a1b5f7324ff15f9dd8e077c3d5f7aade42\n", - " Stored in directory: /tmp/pip-ephem-wheel-cache-k7jpave7/wheels/81/1a/d3/f6c15dbe1955598a37755215f2a10449e7418500d7bd4b9508\n", - " Building wheel for frozendict (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for frozendict: filename=frozendict-1.2-py3-none-any.whl size=3148 sha256=2863d55c240d2409cddf05ccfe600591f8478681549fc97555c47c90dc6bb160\n", - " Stored in directory: /home/rg/.cache/pip/wheels/49/ac/f8/cb8120244e710bdb479c86198b03c7b08c3c2d3d2bf448fd6e\n", - "Successfully built pyknow frozendict\n", - "Installing collected packages: schema, frozendict, pyknow\n", - "Successfully installed frozendict-1.2 pyknow-1.7.0 schema-0.6.7\n" + "Collecting git+https://github.com/nilp0inter/experta\n", + " Cloning https://github.com/nilp0inter/experta to /tmp/pip-req-build-7qurtwk3\n", + " Running command git clone --filter=blob:none --quiet https://github.com/nilp0inter/experta /tmp/pip-req-build-7qurtwk3\n", + " Resolved https://github.com/nilp0inter/experta to commit c6d5834b123861f5ae09e7d07027dc98bec58741\n", + " Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hRequirement already satisfied: frozendict~=2.4.6 in /opt/conda/envs/ai4beg/lib/python3.12/site-packages (from experta==1.9.5.dev1) (2.4.7)\n", + "Collecting schema~=0.6.7 (from experta==1.9.5.dev1)\n", + " Downloading schema-0.6.8-py2.py3-none-any.whl.metadata (14 kB)\n", + "Downloading schema-0.6.8-py2.py3-none-any.whl (14 kB)\n", + "Building wheels for collected packages: experta\n", + " Building wheel for experta (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for experta: filename=experta-1.9.5.dev1-py3-none-any.whl size=34804 sha256=888c459512a5e713f4b674caa9a0f96cfdf07ec0d6eb56cc318ce0653d218014\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-1eeii9zy/wheels/3d/e8/bb/22d7956359603fa8dd679aa09f5b8efb3f29991c3986fdc787\n", + "Successfully built experta\n", + "Installing collected packages: schema, experta\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [experta]\n", + "\u001b[1A\u001b[2KSuccessfully installed experta-1.9.5.dev1 schema-0.6.8\n" ] } ], "source": [ "import sys\n", - "!{sys.executable} -m pip install git+https://github.com/buguroo/pyknow/" + "!{sys.executable} -m pip install git+https://github.com/nilp0inter/experta" ] }, { @@ -283,15 +282,17 @@ }, "outputs": [], "source": [ - "from pyknow import *\n", - "#import pyknow" + "from experta import *\n", + "#import experta" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "אנו נגדיר את המערכת שלנו ככיתה שיורשת את `KnowledgeEngine`. כל כלל מוגדר על ידי פונקציה נפרדת עם סימון `@Rule`, שמציין מתי הכלל צריך לפעול. בתוך הכלל, אנו יכולים להוסיף עובדות חדשות באמצעות פונקציית `declare`, והוספת העובדות הללו תגרום לכך שכללים נוספים יופעלו על ידי מנוע ההסקה קדימה.\n" + "```he\n", + "נגדיר את המערכת שלנו כקטגוריה שיורשת מ-`KnowledgeEngine`. כל כלל מוגדר על ידי פונקציה נפרדת עם אנוטציית `@Rule`, שמגדירה מתי הכלל יתבצע. בתוך הכלל, אנחנו יכולים להוסיף עובדות חדשות באמצעות הפונקציה `declare`, והוספת אותן עובדות תגרום לכך שיעודכנו כללים נוספים על ידי מנוע ההסקה ה'קדמי'.\n", + "```\n" ] }, { @@ -378,7 +379,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "לאחר שהגדרנו בסיס ידע, אנו ממלאים את הזיכרון הפעיל שלנו בעובדות ראשוניות, ואז קוראים לשיטת `run()` כדי לבצע את ההסקה. ניתן לראות כתוצאה מכך שעובדות חדשות שהוסקו מתווספות לזיכרון הפעיל, כולל העובדה הסופית לגבי החיה (אם הגדרנו את כל העובדות הראשוניות בצורה נכונה).\n" + "ברגע שהגדרנו בסיס ידע, אנחנו ממלאים את זיכרון העבודה שלנו בכמה עובדות התחלתיות, ואז קוראים למתודת `run()` כדי לבצע את המסקנות. ניתן לראות כתוצאה מעובדות חדשות שהוסקו מתווספות לזיכרון העבודה, כולל העובדה הסופית על החיה (אם הגדרנו נכון את כל העובדות ההתחלתיות).\n" ] }, { @@ -440,7 +441,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**כתב ויתור**: \nמסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). בעוד שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עשויים להכיל שגיאות או אי דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור סמכותי. עבור מידע קריטי, מומלץ להשתמש בתרגום מקצועי על ידי אדם. איננו נושאים באחריות לאי הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.\n" + "---\n\n\n**כתב ויתור**: \nמסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדייק, יש להיות מודעים לכך כי תרגומים אוטומטיים עלולים להכיל שגיאות או אי־דיוקים. המסמך המקורי בשפתו המקורית הוא המקור המוסמך. עבור מידע קריטי מומלץ להיעזר בתרגום מקצועי ואנושי. אנו לא אחראים לכל אי הבנה או פרשנות שגויה הנובעים משימוש בתרגום זה.\n\n" ] } ], @@ -467,8 +468,8 @@ "version": "3.11.2" }, "coopTranslator": { - "original_hash": "ab2bd97b0453415b89a469284609a8ce", - "translation_date": "2025-08-28T21:05:39+00:00", + "original_hash": "8ef43db4b9182239fd150a76bd494fdb", + "translation_date": "2026-01-16T03:29:02+00:00", "source_file": "lessons/2-Symbolic/Animals.ipynb", "language_code": "he" } diff --git a/translations/he/lessons/2-Symbolic/README.md b/translations/he/lessons/2-Symbolic/README.md index 31b93e9f..0b35fc21 100644 --- a/translations/he/lessons/2-Symbolic/README.md +++ b/translations/he/lessons/2-Symbolic/README.md @@ -1,116 +1,116 @@ -# ייצוג ידע ומערכות מומחה +# ייצוג ידע ומערכות מומחים -![Summary of Symbolic AI content](../../../../translated_images/he/ai-symbolic.715a30cb610411a6.webp) +![תקציר של תוכן בינה מלאכותית סמנטית](../../../../../../translated_images/he/ai-symbolic.715a30cb610411a6.webp) -> סקיצה מאת [Tomomi Imura](https://twitter.com/girlie_mac) +> סקצ'נוט מאת [Tomomi Imura](https://twitter.com/girlie_mac) -החיפוש אחר אינטליגנציה מלאכותית מבוסס על חיפוש ידע, כדי להבין את העולם באופן דומה לאופן שבו בני אדם עושים זאת. אבל איך אפשר לעשות זאת? +השאיפה לאינטליגנציה מלאכותית מבוססת על חיפוש אחרי ידע, כדי להבין את העולם בדומה לדרך שבה בני אדם עושים זאת. אבל איך ניתן לעשות זאת? -## [שאלון לפני ההרצאה](https://ff-quizzes.netlify.app/en/ai/quiz/3) +## [מבחן טרום-הרצאה](https://ff-quizzes.netlify.app/en/ai/quiz/3) -בימים הראשונים של AI, הגישה מלמעלה-למטה ליצירת מערכות חכמות (שנדונה בשיעור הקודם) הייתה פופולרית. הרעיון היה להוציא את הידע מאנשים לצורה שניתנת לקריאה על ידי מכונה, ואז להשתמש בו כדי לפתור בעיות באופן אוטומטי. גישה זו התבססה על שני רעיונות גדולים: +בימיה הראשונים של הבינה המלאכותית, הגישה מלמעלה למטה ליצירת מערכות אינטליגנטיות (שנדונה בשיעור הקודם) הייתה נפוצה. הרעיון היה לחלץ את הידע מאנשים לצורת קריאה למכונה כלשהי, ואז להשתמש בו לפתרון אוטומטי של בעיות. גישה זו התבססה על שתי רעיונות מרכזיים: * ייצוג ידע -* הסקת מסקנות +* היסק ## ייצוג ידע -אחד המושגים החשובים ב-AI סמלי הוא **ידע**. חשוב להבדיל בין ידע לבין *מידע* או *נתונים*. לדוגמה, ניתן לומר שספרים מכילים ידע, כי אפשר ללמוד מהם ולהפוך למומחה. עם זאת, מה שספרים מכילים נקרא למעשה *נתונים*, וכאשר אנו קוראים ספרים ומשלבים את הנתונים הללו במודל העולם שלנו, אנו ממירים את הנתונים לידע. +מושג חשוב בתחום הבינה המלאכותית הסמלית הוא **ידע**. חשוב להבדיל בין ידע ל*מידע* או ל*נתונים*. לדוגמה, ניתן לומר שספרים מכילים ידע, כי אפשר ללמוד מהם ולהפוך למומחה. עם זאת, מה שהספרים מכילים בפועל נקרא *נתונים*, ועל ידי קריאת הספרים ואינטגרציה של נתונים אלו לתוך מודל עולמנו, אנו ממירים את הנתונים לידע. -> ✅ **ידע** הוא משהו שנמצא בראש שלנו ומייצג את ההבנה שלנו על העולם. הוא מתקבל באמצעות תהליך **למידה** פעיל, שמשלב חלקי מידע שאנו מקבלים לתוך המודל הפעיל שלנו של העולם. +> ✅ **ידע** הוא משהו שמכיל בראשנו ומייצג את הבנתנו את העולם. הוא מושג בתהליך **למידה** פעיל, שמשלב חתיכות מידע שאנו מקבלים לתוך המודל הפעיל שלנו של העולם. -לעיתים קרובות, איננו מגדירים ידע באופן מחמיר, אלא משווים אותו למושגים קשורים באמצעות [פירמידת DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). היא מכילה את המושגים הבאים: +בדרך כלל אין לנו הגדרה מדויקת של ידע, אך אנו מתאימים אותו למושגים קשורים אחרים באמצעות [פירמידת DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). היא מכילה את המושגים הבאים: -* **נתונים** הם משהו שמיוצג במדיה פיזית, כמו טקסט כתוב או מילים מדוברות. נתונים קיימים באופן עצמאי מבני אדם וניתן להעבירם בין אנשים. -* **מידע** הוא איך אנו מפרשים נתונים בראש שלנו. לדוגמה, כשאנו שומעים את המילה *מחשב*, יש לנו הבנה מסוימת של מה זה. -* **ידע** הוא מידע שמשולב במודל העולם שלנו. לדוגמה, לאחר שלמדנו מהו מחשב, אנו מתחילים לקבל רעיונות על איך הוא עובד, כמה הוא עולה, ומה ניתן לעשות איתו. רשת זו של מושגים קשורים יוצרת את הידע שלנו. -* **חוכמה** היא רמה נוספת של הבנת העולם, והיא מייצגת *מטא-ידע*, כלומר מושג כלשהו על איך ומתי יש להשתמש בידע. +* **נתונים** הם משהו המיוצג במדיה פיזית, כגון טקסט כתוב או מילים מדוברות. נתונים קיימים באופן עצמאי מבני אדם וניתן להעבירם בין אנשים. +* **מידע** הוא כיצד אנו מפרשים נתונים בראשנו. לדוגמה, כששומעים את המילה *מחשב*, יש לנו הבנה מסוימת מה זה. +* **ידע** הוא מידע שמשולב לתוך מודל העולם שלנו. לדוגמה, כאשר אנו לומדים מהו מחשב, אנו מתחילים לקבל רעיונות כיצד הוא עובד, כמה הוא עולה, ולמה ניתן להשתמש בו. רשת מושגים זו יוצרת את הידע שלנו. +* **חוכמה** היא עוד רמה בהבנתנו את העולם, והיא מייצגת *מטה-ידע*, לדוגמה מושג כיצד ומתי יש להשתמש בידע. - + *תמונה [מוויקיפדיה](https://commons.wikimedia.org/w/index.php?curid=37705247), מאת Longlivetheux - עבודה עצמית, CC BY-SA 4.0* -לכן, הבעיה של **ייצוג ידע** היא למצוא דרך יעילה לייצג ידע בתוך מחשב בצורה של נתונים, כדי להפוך אותו לשימושי באופן אוטומטי. ניתן לראות זאת כספקטרום: +לכן, בעיית ה**ייצוג ידע** היא למצוא דרך יעילה לייצג ידע בתוך מחשב בצורת נתונים, כדי שניתן יהיה להשתמש בו באופן אוטומטי. זה ניתן לראות כספקטרום: -![Knowledge representation spectrum](../../../../translated_images/he/knowledge-spectrum.b60df631852c0217.webp) +![ספקטרום ייצוג ידע](../../../../../../translated_images/he/knowledge-spectrum.b60df631852c0217.webp) > תמונה מאת [Dmitry Soshnikov](http://soshnikov.com) -* בצד השמאלי, ישנם סוגים פשוטים מאוד של ייצוגי ידע שניתן להשתמש בהם ביעילות על ידי מחשבים. הפשוט ביותר הוא אלגוריתמי, כאשר הידע מיוצג על ידי תוכנית מחשב. עם זאת, זו אינה הדרך הטובה ביותר לייצג ידע, כי היא אינה גמישה. הידע בראש שלנו לעיתים קרובות אינו אלגוריתמי. -* בצד הימני, ישנם ייצוגים כמו טקסט טבעי. זהו הייצוג החזק ביותר, אך אינו יכול לשמש להסקת מסקנות אוטומטית. +* משמאל יש סוגים פשוטים של ייצוגי ידע שניתן להשתמש בהם ביעילות על ידי מחשבים. הפשוט ביותר הוא אלגוריתמי, שבו ידע מיוצג על ידי תוכנית מחשב. עם זאת, זו אינה הדרך הטובה ביותר לייצג ידע, כי היא לא גמישה. הידע שבראשנו לעיתים אינו אלגוריתמי. +* מימין יש ייצוגים כגון טקסט טבעי. זה החזק ביותר, אך אינו ניתן לשימוש להסקה אוטומטית. -> ✅ חשבו לרגע איך אתם מייצגים ידע בראש שלכם וממירים אותו להערות. האם יש פורמט מסוים שעובד טוב עבורכם כדי לשפר את הזיכרון? +> ✅ חשבו לרגע כיצד אתם מייצגים ידע בראשכם וממירים אותו להערות. האם יש פורמט מסוים שעובד טוב עבורכם להקל על זכירתו? -## סיווג ייצוגי ידע במחשב +## סיווג שיטות ייצוג ידע במחשב ניתן לסווג שיטות שונות לייצוג ידע במחשב לקטגוריות הבאות: -* **ייצוגי רשת** מבוססים על העובדה שיש לנו רשת של מושגים קשורים בראש שלנו. ניתן לנסות לשחזר את אותן רשתות כגרף בתוך מחשב - מה שנקרא **רשת סמנטית**. +* **ייצוגים ברשת** מתבססים על העובדה שיש לנו רשת של מושגים קשורים בראש. ניתן לנסות לשחזר את אותן רשתות כפול נחשב - מה שנקרא **רשת סמנטית**. -1. **שלשות אובייקט-תכונה-ערך** או **זוגות תכונה-ערך**. מכיוון שניתן לייצג גרף בתוך מחשב כרשימת צמתים וקצוות, ניתן לייצג רשת סמנטית כרשימת שלשות, המכילה אובייקטים, תכונות וערכים. לדוגמה, נבנה את השלשות הבאות על שפות תכנות: +1. **טריפלטים אובייקט-תכונה-ערך** או **זוגות תכונה-ערך**. מכיוון שגרף יכול להיות מיוצג ברשימה של צמתים וקשתות, ניתן לייצג רשת סמנטית על ידי רשימת טריפלטים המכילה אובייקטים, תכונות וערכים. לדוגמה, נבנה את הטריפלטים הבאים על שפות תכנות: -אובייקט | תכונה | ערך --------|-----------|------ -Python | is | Untyped-Language -Python | invented-by | Guido van Rossum -Python | block-syntax | indentation -Untyped-Language | doesn't have | type definitions +אובייקט | תכונה | ערך +-------|---------|------- +Python | הוא | שפה לא טיפוסית +Python | הומצא על ידי | גוידו ואן רוסום +Python | תחביר בלוקים | הזחה +שפה לא טיפוסית | אינה כוללת | הגדרות טיפוס -> ✅ חשבו איך ניתן להשתמש בשלשות כדי לייצג סוגים אחרים של ידע. +> ✅ חשבו כיצד ניתן להשתמש בטריפלטים כדי לייצג סוגים אחרים של ידע. -2. **ייצוגים היררכיים** מדגישים את העובדה שאנו לעיתים קרובות יוצרים היררכיה של אובייקטים בראש שלנו. לדוגמה, אנו יודעים שקנרית היא ציפור, ולכל הציפורים יש כנפיים. יש לנו גם מושג על מהו הצבע של קנרית בדרך כלל, ומהי מהירות הטיסה שלה. +2. **ייצוגים היררכיים** מדגישים את העובדה שלעתים קרובות אנו יוצרים היררכיה של אובייקטים בראש. לדוגמה, אנו יודעים שהציפור קנרית היא ציפור, ולכל הציפורים יש כנפיים. יש לנו גם מושג לגבי צבע הקנרית ומהירות טיסתה. - - **ייצוג מסגרות** מבוסס על ייצוג כל אובייקט או מחלקת אובייקטים כ**מסגרת** המכילה **חריצים**. לחריצים יכולים להיות ערכי ברירת מחדל, הגבלות ערך, או פרוצדורות מאוחסנות שניתן לקרוא להן כדי לקבל את הערך של חריץ. כל המסגרות יוצרות היררכיה דומה להיררכיית אובייקטים בשפות תכנות מונחות עצמים. - - **תסריטים** הם סוג מיוחד של מסגרות שמייצגים מצבים מורכבים שיכולים להתפתח לאורך זמן. + - **ייצוג במסגרת (Frame)** מבוסס על כך שכל אובייקט או מחלקת אובייקטים מיוצגת כ**מסגרת** המכילה **פתחים (slots)**. לפתחים יש ערכי ברירת מחדל אפשריים, הגבלות ערך, או פרוצדורות מאוחסנות שניתן לקרוא להם כדי לקבל את ערך הפתח. כל המסגרות יוצרות היררכיה בדומה להיררכיית אובייקטים בשפות תכנות מונחות עצמים. + - **תרחישים** הם סוג מיוחד של מסגרות המייצגות מצבים מורכבים שיכולים להתפתח בזמן. **Python** -חריץ | ערך | ערך ברירת מחדל | טווח | ------|-------|---------------|----------| -שם | Python | | | -Is-A | Untyped-Language | | | -Variable Case | | CamelCase | | -אורך תוכנית | | | 5-5000 שורות | -Block Syntax | Indent | | | +פתח | ערך | ערך ברירת מחדל | תחום | +-----|------|-----------------|--------| +שם | Python | | | +הוא- | שפה לא טיפוסית | | | +מקרה משתנה | | CamelCase | | +אורך תוכנית | | | 5-5000 שורות | +תחביר בלוקים | הזחה | | | -3. **ייצוגים פרוצדורליים** מבוססים על ייצוג ידע כרשימת פעולות שניתן לבצע כאשר מתרחש תנאי מסוים. - - כללי ייצור הם משפטי אם-אז שמאפשרים לנו להסיק מסקנות. לדוגמה, רופא יכול להחזיק כלל שאומר ש**אם** למטופל יש חום גבוה **או** רמה גבוהה של חלבון C-reactive בבדיקת דם **אז** יש לו דלקת. ברגע שאנו נתקלים באחד התנאים, אנו יכולים להסיק מסקנה על דלקת, ואז להשתמש בה בהסקה נוספת. - - אלגוריתמים יכולים להיחשב כצורה נוספת של ייצוג פרוצדורלי, אם כי הם כמעט אף פעם לא משמשים ישירות במערכות מבוססות ידע. +3. **ייצוגים פרוצדורליים** מבוססים על ייצוג ידע כרשימת פעולות שניתן לבצע כאשר מתקיימת תנאי מסוים. + - חוקי ייצור הם משפטי "אם-אז" המאפשרים להסיק מסקנות. לדוגמה, לרופא יכול להיות חוק שאומר **אם** למטופל יש חום גבוה **או** רמת חלבון C-ריאקטיבי גבוהה בבדיקת דם, **אז** יש לו דלקת. ברגע שמתקיים תנאי כזה, אנו יכולים להסיק דלקת ואז להשתמש בהמשך ההיסק. + - אלגוריתמים יכולים להיחשב גם כן לצורה נוספת של ייצוג פרוצדורלי, אף על פי שאינם בשימוש ישיר במערכות מבוססות ידע. -4. **לוגיקה** הוצעה במקור על ידי אריסטו כדרך לייצג ידע אנושי אוניברסלי. - - לוגיקה פרדיקטיבית כתיאוריה מתמטית עשירה מדי כדי להיות ניתנת לחישוב, ולכן בדרך כלל משתמשים בתת-קבוצה שלה, כמו פסוקי Horn המשמשים ב-Prolog. - - לוגיקה תיאורית היא משפחה של מערכות לוגיות המשמשות לייצוג והסקה על היררכיות של אובייקטים וייצוגי ידע מבוזרים כמו *הרשת הסמנטית*. +4. **לוגיקה** הוצעה במקור על ידי אריסטו כדרך לייצוג ידע אוניברסלי של האדם. + - לוגיקה פרדיקטיבית היא תיאוריה מתמטית עשירה מדי כדי להיות מחושבת במלואה, ולכן בדרך כלל משתמשים בתת-קבוצה שלה, כגון קלסולי הורן המשמשים בפרולוג. + - לוגיקה דסקריפטיבית היא משפחה של מערכות לוגיות המשמשות לייצוג והיסק על היררכיות של אובייקטים וייצוגי ידע מופצים כגון *האינטרנט הסמנטי*. -## מערכות מומחה +## מערכות מומחים -אחד ההישגים הראשונים של AI סמלי היו מערכות מומחה - מערכות מחשב שנועדו לפעול כמומחה בתחום בעיה מוגבל. הן התבססו על **בסיס ידע** שהופק ממומחים אנושיים, וכללו **מנוע הסקה** שביצע הסקת מסקנות על בסיסו. +אחד ההצלחות המוקדמות של הבינה המלאכותית הסמלית היו מה שנקרא **מערכות מומחים** - מערכות מחשב שמטרתן לפעול כמומחים בתחום בעיה מוגבל. הן התבססו על **בסיס ידע** שחולץ מאחד או יותר מומחים אנושיים, והכילו **מנוע היסק** שביצע היסק על בסיס זה. -![Human Architecture](../../../../translated_images/he/arch-human.5d4d35f1bba3ab1c.webp) | ![Knowledge-Based System](../../../../translated_images/he/arch-kbs.3ec5c150b09fa8da.webp) ----------------------------------------------|------------------------------------------------ -מבנה מפושט של מערכת עצבית אנושית | ארכיטקטורה של מערכת מבוססת ידע +![ארכיטקטורה אנושית](../../../../../../translated_images/he/arch-human.5d4d35f1bba3ab1c.webp) | ![מערכת מבוססת ידע](../../../../../../translated_images/he/arch-kbs.3ec5c150b09fa8da.webp) +---------------------------------------------|------------------------------------------------ +מבנה מפושט של מערכת עצבית אנושית | ארכיטקטורה של מערכת מבוססת ידע -מערכות מומחה נבנות כמו מערכת ההסקה האנושית, שמכילה **זיכרון קצר טווח** ו**זיכרון ארוך טווח**. באופן דומה, במערכות מבוססות ידע אנו מבחינים ברכיבים הבאים: +מערכות מומחים נבנות בדומה למערכת ההיסק האנושית, הכוללת **זיכרון לטווח קצר** ו**זיכרון לטווח ארוך**. בדומה לכך, במערכות מבוססות ידע אנו מבחינים ברכיבים הבאים: -* **זיכרון בעיה**: מכיל את הידע על הבעיה הנוכחית, כלומר הטמפרטורה או לחץ הדם של מטופל, האם יש לו דלקת או לא, וכו'. ידע זה נקרא גם **ידע סטטי**, כי הוא מכיל תמונת מצב של מה שאנו יודעים כרגע על הבעיה - מה שנקרא *מצב בעיה*. -* **בסיס ידע**: מייצג ידע ארוך טווח על תחום הבעיה. הוא מופק ידנית ממומחים אנושיים, ואינו משתנה מייעוץ לייעוץ. מכיוון שהוא מאפשר לנו לנווט ממצב בעיה אחד לאחר, הוא נקרא גם **ידע דינמי**. -* **מנוע הסקה**: מתאם את כל תהליך החיפוש במרחב מצב הבעיה, שואל שאלות מהמשתמש בעת הצורך. הוא גם אחראי על מציאת הכללים הנכונים שיש ליישם בכל מצב. +* **זיכרון בעיה**: מכיל את הידע על הבעיה הנפתרת כרגע, כלומר הטמפרטורה או לחץ הדם של המטופל, האם יש לו דלקת או לא, וכו'. ידע זה נקרא גם **ידע סטטי**, כי הוא מכיל תמונת מצב של מה שאנו יודעים כרגע על הבעיה - מה שמכונה *מצב הבעיה*. +* **בסיס ידע**: מייצג ידע לטווח ארוך בתחום בעיה. הוא חולץ באופן ידני ממומחים אנושיים, ואינו משתנה בין ייעוצים. מכיוון שהוא מאפשר לנו לנוע בין מצבי בעיה שונים, הוא גם נקרא **ידע דינמי**. +* **מנוע היסק**: מארגן את כל תהליך החיפוש במרחב מצבי הבעיה, שואל שאלות למשתמש במידת הצורך. הוא גם אחראי למצוא את החוקים המתאימים שיבוצעו בכל מצב. -לדוגמה, נבחן את מערכת המומחה הבאה לקביעת בעל חיים על בסיס מאפייניו הפיזיים: +לדוגמה, נשקול את מערכת המומחה הבאה לקביעת חיה בהתבסס על התכונות הפיזיות שלה: -![AND-OR Tree](../../../../translated_images/he/AND-OR-Tree.5592d2c70187f283.webp) +![עץ AND-OR](../../../../../../translated_images/he/AND-OR-Tree.5592d2c70187f283.webp) > תמונה מאת [Dmitry Soshnikov](http://soshnikov.com) -דיאגרמה זו נקראת **עץ AND-OR**, והיא ייצוג גרפי של סט כללי ייצור. ציור עץ הוא שימושי בתחילת תהליך הפקת ידע מהמומחה. כדי לייצג את הידע בתוך המחשב, נוח יותר להשתמש בכללים: +דיאגרמה זו נקראת **עץ AND-OR**, והיא ייצוג גרפי של קבוצת חוקי יצור. ציור העץ שימושי בתחילת תהליך חילוץ הידע מהמומחה. לייצוג הידע במחשב נוח יותר להשתמש בחוקים: ``` IF the animal eats meat @@ -120,79 +120,79 @@ OR (animal has sharp teeth ) THEN the animal is a carnivore ``` + +ניתן להבחין שכל תנאי בצד שמאל של החוק והפעולה הם בעצם טריפלטים של אובייקט-תכונה-ערך (OAV). **זיכרון העבודה** מכיל את מערך הטריפלטים המתאימים לבעיה הנפתרת כרגע. **מנוע החוקים** מחפש חוקים שהתנאי בהם מתקיים ומיישם אותם, תוך הוספת טריפלט נוסף לזיכרון העבודה. -ניתן להבחין שכל תנאי בצד השמאלי של הכלל והפעולה הם למעשה שלשות אובייקט-תכונה-ערך (OAV). **זיכרון עבודה** מכיל את סט השלשות OAV שמתאימות לבעיה הנוכחית. **מנוע כללים** מחפש כללים שעבורם התנאי מתקיים ומיישם אותם, מוסיף שלשה נוספת לזיכרון העבודה. +> ✅ כתבו את עץ ה-AND-OR שלכם בנושא שאתם אוהבים! -> ✅ כתבו עץ AND-OR משלכם על נושא שאתם אוהבים! +### היסק קדימה לעומת היסק אחורה -### הסקה קדימה מול הסקה אחורה +התהליך שתואר לעיל נקרא **היסק קדימה**. הוא מתחיל עם נתונים ראשוניים על הבעיה הזמינים בזיכרון העבודה, ואז מבצע את לולאת ההיסק הבאה: -התהליך שתואר לעיל נקרא **הסקה קדימה**. הוא מתחיל עם נתונים ראשוניים על הבעיה הזמינים בזיכרון העבודה, ואז מבצע את לולאת ההסקה הבאה: +1. אם התכונה המטרה קיימת בזיכרון העבודה - עצור והצע את התוצאה +2. חפש את כל החוקים שהתנאי שלהם מתקיים כרגע - קבל **קבוצת קונפליקט** של חוקים. +3. בצע **פתרון קונפליקט** - בחר חוק אחד שיופעל בשלב זה. קיימות אסטרטגיות שונות לפתרון הקונפליקט: + - בחר את החוק הראשון המתאים בבסיס הידע + - בחר חוק אקראי + - בחר חוק *יותר ספציפי*, כלומר העונה על הכי הרבה תנאים ב-"צד שמאל" +4. החל את החוק שנבחר והכנס חתיכת ידע חדשה למצב הבעיה +5. חזור לשלב 1. -1. אם התכונה המטרה קיימת בזיכרון העבודה - עצרו וספקו את התוצאה -2. חפשו את כל הכללים שהתנאי שלהם מתקיים כרגע - קבלו **סט קונפליקט** של כללים. -3. בצעו **פתרון קונפליקט** - בחרו כלל אחד שיופעל בשלב זה. יכולות להיות אסטרטגיות שונות לפתרון קונפליקט: - - בחרו את הכלל הראשון שניתן ליישם בבסיס הידע - - בחרו כלל אקראי - - בחרו כלל *ספציפי יותר*, כלומר כזה שעונה על הכי הרבה תנאים בצד השמאלי (LHS) -4. יישמו את הכלל שנבחר והכניסו פיסת ידע חדשה למצב הבעיה -5. חזרו לשלב 1. +עם זאת, במקרים מסוימים נרצה להתחיל עם ידע ריק על הבעיה, ולשאול שאלות שיעזרו לנו להגיע למסקנה. לדוגמה, באבחון רפואי, בדרך כלל איננו מבצעים את כל הבדיקות הרפואיות מראש לפני תחילת האבחון. אנו מעדיפים לבצע בדיקות כאשר יש צורך בקבלת החלטה. -עם זאת, במקרים מסוימים אנו עשויים לרצות להתחיל עם ידע ריק על הבעיה, ולשאול שאלות שיעזרו לנו להגיע למסקנה. לדוגמה, כאשר מבצעים אבחון רפואי, בדרך כלל איננו מבצעים את כל הבדיקות הרפואיות מראש לפני שמתחילים לאבחן את המטופל. אנו מעדיפים לבצע בדיקות כאשר יש צורך לקבל החלטה. +תהליך זה ניתן למידול באמצעות **היסק אחורה**. הוא מונחה על ידי **המטרה** - ערך התכונה שאנו רוצים למצוא: -תהליך זה ניתן לדמות באמצעות **הסקה אחורה**. הוא מונע על ידי **מטרה** - ערך התכונה שאנו מחפשים: +1. בחר את כל החוקים שיכולים לתת את ערך המטרה (כלומר עם המטרה בצד ימין) - קבוצת קונפליקט +2. אם אין חוקים לערך זה, או שיש חוק שאומר שיש לשאול את הערך מהמשתמש - שאל אותו, אחרת: +3. השתמש באסטרטגיית פתרון הקונפליקט כדי לבחור חוק אחד כאסטרטיבה - ננסה להוכיח אותו +4. חזור רקורסיבית על כל התכונות בצד שמאל של החוק, בניסיון להוכיח אותן כמטרות +5. אם בתהליך כלשהו התהליך נכשל - השתמש בחוק אחר בשלב 3. -1. בחרו את כל הכללים שיכולים לתת לנו את ערך המטרה (כלומר עם המטרה בצד הימני (RHS)) - סט קונפליקט -1. אם אין כללים עבור תכונה זו, או שיש כלל שאומר שעלינו לשאול את הערך מהמשתמש - שאלו אותו, אחרת: -1. השתמשו באסטרטגיית פתרון קונפליקט כדי לבחור כלל אחד שנשתמש בו כ*השערה* - ננסה להוכיח אותו -1. חזרו על התהליך באופן רקורסיבי עבור כל התכונות בצד השמאלי של הכלל, בניסיון להוכיח אותן כמטרות -1. אם בשלב כלשהו התהליך נכשל - השתמשו בכלל אחר בשלב 3. +> ✅ באילו מצבים היסק קדימה מתאים יותר? ומה לגבי היסק אחורה? -> ✅ באילו מצבים הסקה קדימה מתאימה יותר? ומה לגבי הסקה אחורה? +### יישום מערכות מומחים -### יישום מערכות מומחה +ניתן לממש מערכות מומחים באמצעות כלים שונים: -ניתן ליישם מערכות מומחה באמצעות כלים שונים: +* תכנות ישיר בשפת תכנות רמה גבוהה. זו אינה רעיון טוב במיוחד, כי היתרון המרכזי של מערכת מבוססת ידע הוא שהידע נפרד מההיסק, וסביר שמומחה בתחום הבעיה יוכל לכתוב חוקים בלי להבין את פרטי תהליך ההיסק. +* שימוש ב**קליפה של מערכות מומחים**, כלומר מערכת המיועדת ספציפית להתמלא בידע באמצעות שפת ייצוג ידע כלשהי. -* תכנותן ישירות בשפת תכנות ברמה גבוהה. זו אינה הבחירה הטובה ביותר, כי היתרון המרכזי של מערכת מבוססת ידע הוא שהידע מופרד מההסקה, ובאופן פוטנציאלי מומחה בתחום הבעיה צריך להיות מסוגל לכתוב כללים מבלי להבין את פרטי תהליך ההסקה. -* שימוש ב**מעטפת מערכות מומחה**, כלומר מערכת שנועדה במיוחד להיות מאוכלסת בידע באמצעות שפת ייצוג ידע. +## ✍️ תרגיל: היסק על חיות -## ✍️ תרגיל: הסקת בעלי חיים +ראו את [Animals.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) כדוגמה ליישום מערכת מומחים בהיסק קדימה ואחורה. -ראו [Animals.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) לדוגמה של יישום מערכת מומחה עם הסקה קדימה ואחורה. - -> **הערה**: דוגמה זו די פשוטה, ומספקת רק את הרעיון של איך נראית מערכת מומחה. ברגע שתתחילו ליצור מערכת כזו, תבחינו בהתנהגות *אינטליגנטית* ממנה רק כאשר תגיעו למספר מסוים של כללים, בסביבות 200+. בשלב מסוים, הכללים הופכים מורכבים מדי כדי לשמור את כולם בראש, ובשלב זה ייתכן שתתחילו לתהות מדוע המערכת מקבלת החלטות מסוימות. עם זאת, מאפיין חשוב של מערכות מבוססות ידע הוא שתמיד ניתן *להסביר* בדיוק איך התקבלו ההחלטות. +> **הערה**: דוגמה זו פשוטה למדי, ומייצגת רק את הרעיון כיצד נראית מערכת מומחים. עם תחילת יצירת מערכת כזו, תבחינו בהתנהגות *חכמה* רק כאשר מגיעים למספר חוקים מסוים, סביב 200+. בנקודה מסוימת, החוקים הופכים מורכבים מדי כדי לזכור את כולם, ובנקודה זו עשויה להתעורר השאלה מדוע המערכת מקבלת החלטות מסוימות. יחד עם זאת, אחת התכונות החשובות של מערכות מבוססות ידע היא שתמיד ניתן *להסביר* בדיוק איך התקבלה כל החלטה. ## אונטולוגיות והרשת הסמנטית -בסוף המאה ה-20 הייתה יוזמה להשתמש בייצוג ידע כדי להוסיף הערות למשאבי אינטרנט, כך שיהיה אפשר למצוא משאבים שמתאימים לשאילתות מאוד ספציפיות. תנועה זו נקראה **הרשת הסמנטית**, והיא התבססה על מספר מושגים: +בסוף המאה ה-20 הייתה יוזמה להשתמש בייצוג ידע כדי לתייג משאבי אינטרנט, כך שיהיה ניתן למצוא משאבים המתאימים לשאילתות מאוד ספציפיות. יוזמה זו נקראה **הרשת הסמנטית**, והיא התבססה על מספר רעיונות: -- ייצוג ידע מיוחד המבוסס על **[לוגיקות תיאוריות](https://en.wikipedia.org/wiki/Description_logic)** (DL). הוא דומה לייצוג ידע באמצעות מסגרות, כי הוא בונה היררכיה של אובייקטים עם תכונות, אך יש לו סמנטיקה לוגית פורמלית והסקה. יש משפחה שלמה של DLs שמאזנת בין עושר הייצוג לבין מורכבות אלגוריתמית של ההסקה. -- ייצוג ידע מבוזר, שבו כל המושגים מיוצגים על ידי מזהה URI גלובלי, מה שמאפשר ליצור היררכיות ידע שמתפרסות על פני האינטרנט. +- ייצוג ידע מיוחד מבוסס על **[לוגיקות תיאוריות](https://en.wikipedia.org/wiki/Description_logic)** (DL). הוא דומה לייצוג במסגרת, כי בונה היררכיית אובייקטים עם תכונות, אך יש לו סמנטיקה לוגית פורמלית והיסק. קיימת משפחה של DLs שמתאזנת בין הבעה ומורכבות אלגוריתמית של היסק. +- ייצוג ידע מבוזר, שבו כל מושג מיוצג על ידי מזהה URI גלובלי, מה שמאפשר ליצור היררכיות ידע המשתרעות ברחבי האינטרנט. - משפחה של שפות מבוססות XML לתיאור ידע: RDF (Resource Description Framework), RDFS (RDF Schema), OWL (Ontology Web Language). -מושג מרכזי ברשת הסמנטית הוא מושג ה**אונטולוגיה**. הוא מתייחס למפרט מפורש של תחום בעיה באמצעות ייצוג ידע פורמלי. האונטולוגיה הפשוטה ביותר יכולה להיות רק היררכיה של אובייקטים בתחום הבעיה, אך אונטולוגיות מורכבות יותר יכללו חוקים שניתן להשתמש בהם להסקת מסקנות. +מושג מרכזי ברשת הסמנטית הוא מושג של **אונטולוגיה**. הוא מתייחס למפרט מפורש של תחום בעיה באמצעות ייצוג ידע פורמלי כלשהו. האונטולוגיה הפשוטה ביותר יכולה להיות רק היררכיה של עצמים בתחום הבעיה, אך אונטולוגיות מורכבות יותר יכללו חוקים שניתן להשתמש בהם להסקה. -ברשת הסמנטית, כל הייצוגים מבוססים על שלשות. כל אובייקט וכל קשר מזוהים באופן ייחודי באמצעות URI. לדוגמה, אם נרצה לציין את העובדה שתוכנית הלימודים הזו בתחום הבינה המלאכותית פותחה על ידי דמיטרי סושניקוב ב-1 בינואר 2022 - הנה השלשות שנוכל להשתמש בהן: +ברשת הסמנטית, כל הייצוגים מבוססים על משולשים. כל אובייקט וכל יחס מזוהים באופן ייחודי על ידי ה-URI. לדוגמה, אם נרצה לציין את העובדה שהקוריקולום ל-AI זה פותח על ידי דמיטרי סושניקוב ב-1 בינואר 2022 - הנה המשולשים שנוכל להשתמש בהם: - + ``` -http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 13, 2007” +http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 1, 2022” http://github.com/microsoft/ai-for-beginners http://purl.org/dc/elements/1.1/creator http://soshnikov.com ``` -> ✅ כאן `http://www.example.com/terms/creation-date` ו-`http://purl.org/dc/elements/1.1/creator` הם URI מוכרים ואוניברסליים לביטוי מושגים של *יוצר* ו-*תאריך יצירה*. +> ✅ כאן `http://www.example.com/terms/creation-date` ו-`http://purl.org/dc/elements/1.1/creator` הם URI מוכרים ומקובלים אוניברסלית להבעת המושגים של *יוצר* ו-*תאריך יצירה*. -במקרה מורכב יותר, אם נרצה להגדיר רשימה של יוצרים, נוכל להשתמש במבני נתונים המוגדרים ב-RDF. +במקרה מורכב יותר, אם נרצה להגדיר רשימת יוצרים, נוכל להשתמש במבני נתונים המוגדרים ב-RDF. - + -> הדיאגרמות לעיל מאת [דמיטרי סושניקוב](http://soshnikov.com) +> הדיאגרמות למעלה מאת [דמיטרי סושניקוב](http://soshnikov.com) -התקדמות בניית הרשת הסמנטית הואטה במידה מסוימת בשל הצלחת מנועי החיפוש וטכניקות עיבוד שפה טבעית, שמאפשרות חילוץ נתונים מובנים מטקסט. עם זאת, באזורים מסוימים עדיין יש מאמצים משמעותיים לשמר אונטולוגיות ובסיסי ידע. כמה פרויקטים שכדאי לציין: +ההתקדמות בבניית הרשת הסמנטית הועכבה במידה מסוימת על ידי הצלחת מנועי החיפוש וטכניקות עיבוד שפה טבעית, המאפשרות חילוץ נתונים מובנים מטקסט. עם זאת, בתחומים מסוימים עדיין קיימות מאמצים משמעותיים לשמירה על אונטולוגיות ובסיסי ידע. כמה פרויקטים שכדאי לציין: -* [WikiData](https://wikidata.org/) הוא אוסף של בסיסי ידע קריאים למכונה הקשורים לוויקיפדיה. רוב הנתונים נכרו מתוך *InfoBoxes* של ויקיפדיה, חלקי תוכן מובנים בתוך דפי ויקיפדיה. ניתן [לשאול](https://query.wikidata.org/) את WikiData באמצעות SPARQL, שפת שאילתות מיוחדת לרשת הסמנטית. הנה דוגמת שאילתה שמציגה את צבעי העיניים הפופולריים ביותר בקרב בני אדם: +* [WikiData](https://wikidata.org/) היא אוסף של בסיסי ידע קריאים למכונה המקושרים לויקיפדיה. רוב הנתונים נאספים מתוך *תיבות מידע* (InfoBoxes) בויקיפדיה, חתיכות תוכן מובנה בתוך עמודי ויקיפדיה. ניתן [לבצע שאילתה](https://query.wikidata.org/) בויקידטה בשפת SPARQL, שפת שאילתות מיוחדת לרשת הסמנטית. הנה שאילתה לדוגמה שמציגה את צבעי העיניים הפופולריים ביותר בקרב בני אדם: ```sparql #defaultView:BubbleChart @@ -206,47 +206,51 @@ WHERE GROUP BY ?eyeColorLabel ``` -* [DBpedia](https://www.dbpedia.org/) הוא מאמץ נוסף הדומה ל-WikiData. +* [DBpedia](https://www.dbpedia.org/) היא מאמץ נוסף דומה ל-WikiData. -> ✅ אם תרצו להתנסות בבניית אונטולוגיות משלכם או לפתוח קיימות, יש עורך אונטולוגיות חזותי מצוין בשם [Protégé](https://protege.stanford.edu/). הורידו אותו או השתמשו בו אונליין. +> ✅ אם אתם רוצים להתנסות בבניית אונטולוגיות משלכם, או לפתוח אונטולוגיות קיימות, יש עורך אונטולוגיות גרפי מעולה בשם [Protégé](https://protege.stanford.edu/). הורידו אותו, או השתמשו בו אונליין. - + *עורך Web Protégé פתוח עם אונטולוגיית משפחת רומנוב. צילום מסך מאת דמיטרי סושניקוב* ## ✍️ תרגיל: אונטולוגיית משפחה -ראו [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) לדוגמה של שימוש בטכניקות רשת סמנטית להסקת מסקנות על קשרי משפחה. ניקח עץ משפחה המיוצג בפורמט GEDCOM נפוץ ואונטולוגיה של קשרי משפחה ונבנה גרף של כל קשרי המשפחה עבור קבוצת אנשים נתונה. +ראו את [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) כדוגמה לשימוש בטכניקות רשת סמנטית להסקת מסקנות על מערכות יחסים במשפחה. ניקח עץ משפחה המיוצג בפורמט GEDCOM נפוץ ואונטולוגיה של מערכות יחסים משפחתיות ונבנה גרף של כל מערכות היחסים במשפחה עבור קבוצת פרטים נתונה. -## גרף מושגים של מיקרוסופט +## Microsoft Concept Graph -ברוב המקרים, אונטולוגיות נוצרות בקפידה באופן ידני. עם זאת, ניתן גם **לכרות** אונטולוגיות מנתונים לא מובנים, למשל מטקסטים בשפה טבעית. +לרוב, אונטולוגיות יוצרות בזהירות ביד. עם זאת, אפשר גם **לכרות** אונטולוגיות מנתונים לא מובנים, למשל מתוך טקסטים בשפה טבעית. -ניסיון כזה נעשה על ידי Microsoft Research, והוביל ל-[Microsoft Concept Graph](https://blogs.microsoft.com/ai/microsoft-researchers-release-graph-that-helps-machines-conceptualize/?WT.mc_id=academic-77998-cacaste). +ניסיון כזה נעשה על ידי Microsoft Research, והתוצאה היא [Microsoft Concept Graph](https://blogs.microsoft.com/ai/microsoft-researchers-release-graph-that-helps-machines-conceptualize/?WT.mc_id=academic-77998-cacaste). -זהו אוסף גדול של ישויות מקובצות יחד באמצעות קשר ירושה `is-a`. הוא מאפשר לענות על שאלות כמו "מהי מיקרוסופט?" - התשובה תהיה משהו כמו "חברה עם הסתברות של 0.87, ומותג עם הסתברות של 0.75". +זהו אוסף גדול של ישויות הממוזגות יחד באמצעות קשר הירושה `is-a`. הוא מאפשר לענות על שאלות כמו "מהי מייקרוסופט?" - התשובה תהיה משהו כמו "חברה עם הסתברות של 0.87, ומותג עם הסתברות של 0.75". -הגרף זמין הן כ-REST API והן כקובץ טקסט גדול להורדה שמפרט את כל זוגות הישויות. +הגרף זמין כ-REST API, או כקובץ טקסט גדול שניתן להוריד ומכיל את כל זוגות הישויות. ## ✍️ תרגיל: גרף מושגים -נסו את המחברת [MSConceptGraph.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb) כדי לראות כיצד ניתן להשתמש ב-Microsoft Concept Graph לקיבוץ מאמרי חדשות לכמה קטגוריות. +נסו את הפנקס [MSConceptGraph.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb) כדי לראות כיצד ניתן להשתמש ב-Microsoft Concept Graph כדי לקבץ מאמרי חדשות למספר קטגוריות. ## סיכום -כיום, בינה מלאכותית נחשבת לעיתים קרובות למילה נרדפת ל-*למידת מכונה* או *רשתות נוירונים*. עם זאת, בני אדם מפגינים גם הסקת מסקנות מפורשת, דבר שאינו מטופל כיום על ידי רשתות נוירונים. בפרויקטים בעולם האמיתי, הסקת מסקנות מפורשת עדיין משמשת לביצוע משימות שדורשות הסברים, או יכולת לשנות את התנהגות המערכת בצורה מבוקרת. +בעידן המודרני, AI נתפס לעיתים כסינונימי ל-*למידת מכונה* או רשתות *עצביות*. עם זאת, גם בני אדם מפגינים הסקה מפורשת, שהיא משהו כרגע שאינו מטופל על ידי רשתות עצביות. בפרויקטים בעולם האמיתי, הסקה מפורשת עדיין משמשת לביצוע משימות הדורשות הסברים או היכולת לשנות את התנהגות המערכת בצורה מבוקרת. ## 🚀 אתגר -במחברת אונטולוגיית המשפחה הקשורה לשיעור זה, יש הזדמנות להתנסות בקשרי משפחה אחרים. נסו לגלות קשרים חדשים בין אנשים בעץ המשפחה. +בפנקס האונטולוגיה למשפחה המשויך לשיעור הזה יש הזדמנות להתנסות במערכות יחסים משפחתיות אחרות. נסו לגלות קשרים חדשים בין אנשים בעץ המשפחה. -## [שאלון לאחר השיעור](https://ff-quizzes.netlify.app/en/ai/quiz/4) +## [בחן לאחר ההרצאה](https://ff-quizzes.netlify.app/en/ai/quiz/4) -## סקירה ולימוד עצמי +## סקירה ולמידה עצמית -בצעו מחקר באינטרנט כדי לגלות תחומים שבהם בני אדם ניסו לכמת ולהגדיר ידע. הסתכלו על הטקסונומיה של בלום, וחזרו אחורה בהיסטוריה כדי ללמוד כיצד בני אדם ניסו להבין את עולמם. חקרו את עבודתו של לינאוס ליצירת טקסונומיה של אורגניזמים, והתבוננו בדרך שבה דמיטרי מנדלייב יצר דרך לתיאור וקיבוץ של יסודות כימיים. אילו דוגמאות מעניינות נוספות תוכלו למצוא? +עשו מחקר באינטרנט כדי לגלות תחומים שבהם בני אדם ניסו לכמת ולקודד ידע. שימו לב למדרג בלום, וחזרו בהיסטוריה כדי ללמוד כיצד אנשים ניסו להבין את עולמם. חקרו את עבודתו של לינאוס ליצירת טקסונומיה של אורגניזמים, והתבוננו בדרך שבה דמיטרי מנדלייב יצר שיטה לתיאור וקיבוץ יסודות כימיים. אילו דוגמאות מעניינות אחרות תוכלו למצוא? **משימה**: [בנו אונטולוגיה](assignment.md) --- + +**הצהרת כתב ויתור**: +מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדייק ככל האפשר, יש לקחת בחשבון שתרגומים אוטומטיים עלולים להכיל שגיאות או אי-דיוקים. המסמך המקורי בשפת המקור שלו אמור להיחשב כמקור המהימן והמחייב. למידע קריטי מומלץ להשתמש בתרגום מקצועי אנושי. איננו אחראים על אי-הבנות או פרשנויות שגויות הנובעות משימוש בתרגום זה. + \ No newline at end of file diff --git a/translations/id/README.md b/translations/id/README.md index 56b98da6..8d3454fa 100644 --- a/translations/id/README.md +++ b/translations/id/README.md @@ -1,8 +1,8 @@ -[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Macau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hungaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeria](../pcm/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Sirilik)](../sr/README.md) | [Slowakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailand](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md) +[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Burma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh/README.md) | [Cina (Tradisional, Hong Kong)](../hk/README.md) | [Cina (Tradisional, Makau)](../mo/README.md) | [Cina (Tradisional, Taiwan)](../tw/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hongaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeria](../pcm/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../br/README.md) | [Portugis (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Sirilik)](../sr/README.md) | [Slowakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md) -> **Lebih Suka Clone Lokal?** +> **Lebih suka Clone Secara Lokal?** -> Repositori ini mencakup lebih dari 50 terjemahan bahasa yang secara signifikan meningkatkan ukuran unduhan. Untuk kloning tanpa terjemahan, gunakan sparse checkout: +> Repositori ini mencakup lebih dari 50 bahasa terjemahan yang secara signifikan meningkatkan ukuran unduhan. Untuk mengkloning tanpa terjemahan, gunakan sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners @@ -48,7 +47,7 @@ Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajar > Ini memberi Anda semua yang Anda butuhkan untuk menyelesaikan kursus dengan unduhan yang jauh lebih cepat. -**Jika Anda ingin memiliki dukungan bahasa terjemahan tambahan yang didukung tercantum [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jika Anda ingin mendukung bahasa terjemahan tambahan, daftar didukung tersedia [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Bergabung dengan Komunitas [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -57,43 +56,43 @@ Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajar **[Peta Pikiran Kursus](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Dalam kurikulum ini, Anda akan belajar: +Dalam kurikulum ini, Anda akan mempelajari: -* Pendekatan berbeda terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://id.wikipedia.org/wiki/Kecerdasan_buatan_simbolik)). -* **Jaringan Syaraf** dan **Pembelajaran Mendalam**, yang merupakan inti dari AI modern. Kami akan mengilustrasikan konsep di balik topik penting ini menggunakan kode dalam dua kerangka kerja paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org). -* **Arsitektur Neural** untuk bekerja dengan gambar dan teks. Kami akan membahas model terbaru tetapi mungkin agak kurang dalam teknologi mutakhir. -* Pendekatan AI yang kurang populer, seperti **Algoritma Genetik** dan **Sistem Multi-Agen**. +* Pendekatan berbeda untuk Kecerdasan Buatan, termasuk pendekatan simbolik "lama tapi emas" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Jaringan Saraf** dan **Pembelajaran Mendalam**, yang menjadi inti AI modern. Kami akan menggambarkan konsep-konsep di balik topik penting ini menggunakan kode dalam dua framework paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org). +* **Arsitektur Saraf** untuk bekerja dengan gambar dan teks. Kami akan membahas model-model terbaru meskipun mungkin kurang dalam hal state-of-the-art. +* Pendekatan AI yang kurang populer, seperti **Algoritma Genetika** dan **Sistem Multi-Agen**. -Apa yang tidak akan kami bahas dalam kurikulum ini: +Yang tidak akan kami bahas dalam kurikulum ini: > [Temukan semua sumber daya tambahan untuk kursus ini dalam koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Kasus bisnis menggunakan **AI dalam Bisnis**. Pertimbangkan untuk mengambil jalur pembelajaran [Pengenalan AI untuk pengguna bisnis](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [Sekolah Bisnis AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dikembangkan bekerja sama dengan [INSEAD](https://www.insead.edu/). -* **Pembelajaran Mesin Klasik**, yang telah dijelaskan dengan baik dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners). -* Aplikasi AI praktis yang dibangun menggunakan **[Layanan Kognitif](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami merekomendasikan Anda mulai dengan modul Microsoft Learn untuk [visi](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemrosesan bahasa alami](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI Generatif dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lainnya. -* **Kerangka Kerja Cloud ML** tertentu, seperti [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan menggunakan jalur pembelajaran [Membangun dan mengoperasikan solusi pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Membangun dan Mengoperasikan Solusi Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI Percakapan** dan **Chat Bot**. Ada jalur pembelajaran terpisah [Membuat solusi AI percakapan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan Anda juga dapat merujuk ke [posting blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk detail lebih lanjut. -* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami merekomendasikan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia secara daring di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Kasus bisnis penggunaan **AI dalam Bisnis**. Pertimbangkan mengikuti jalur pembelajaran [Pengenalan AI untuk pengguna bisnis](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dikembangkan bekerja sama dengan [INSEAD](https://www.insead.edu/). +* **Pembelajaran Mesin Klasik**, yang dijelaskan dengan baik di dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners) kami. +* Aplikasi AI praktis yang dibangun menggunakan **[Layanan Kognitif](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami rekomendasikan memulai dengan modul Microsoft Learn untuk [visi komputer](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemrosesan bahasa alami](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lainnya. +* **Framework Cloud ML Spesifik**, seperti [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan menggunakan jalur pembelajaran [Membangun dan mengoperasikan solusi pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Membangun dan Mengoperasikan Solusi Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **AI Percakapan** dan **Chat Bot**. Ada jalur pembelajaran terpisah [Membuat solusi AI percakapan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan Anda juga bisa merujuk ke [posting blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk detail lebih lanjut. +* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami merekomendasikan [Pembelajaran Mendalam](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio, dan Aaron Courville, yang juga tersedia secara daring di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Untuk pengenalan lembut ke topik _AI di Cloud_, Anda bisa mempertimbangkan untuk mengambil Jalur Pembelajaran [Memulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Untuk pengantar yang ringan tentang topik _AI di Cloud_, Anda dapat mempertimbangkan mengikuti Jalur Pembelajaran [Memulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Konten -| | Tautan Pelajaran | PyTorch/Keras/TensorFlow | Lab | -| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Atur Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | | +| | Tautan Pelajaran | PyTorch/Keras/TensorFlow | Lab | +| :-: | :---------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | +| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Siapkan Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | | | I | [**Pengenalan AI**](./lessons/1-Intro/README.md) | | | | 01 | [Pengenalan dan Sejarah AI](./lessons/1-Intro/README.md) | - | - | | II | **AI Simbolik** | | 02 | [Representasi Pengetahuan dan Sistem Pakar](./lessons/2-Symbolic/README.md) | [Sistem Pakar](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Konsep](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Pengenalan Jaringan Syaraf**](./lessons/3-NeuralNetworks/README.md) ||| +| III | [**Pengenalan Jaringan Saraf**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Multi-Layered Perceptron dan Membuat Framework kami sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 04 | [Multi-Layered Perceptron dan Membuat Framework Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Intro ke Frameworks (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Jelajahi Computer Vision di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Pengantar Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 06 | [Intro ke Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arsitektur CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Jaringan Pralatih dan Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 08 | [Jaringan yang Telah Dilatih dan Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders dan VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generative Adversarial Networks & Transfer Gaya Artistik](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Deteksi Objek](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | @@ -101,45 +100,45 @@ Untuk pengenalan lembut ke topik _AI di Cloud_, Anda bisa mempertimbangkan untuk | V | [**Natural Language Processing**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Jelajahi Natural Language Processing di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Representasi Teks. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Embedding kata semantik. Word2Vec dan GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Pemodelan Bahasa. Melatih embedding sendiri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [Pemodelan Bahasa. Melatih embeddings sendiri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Recurrent Neural Networks](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Generative Recurrent Networks](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Named Entity Recognition](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Model Bahasa Besar, Pemrograman Prompt dan Tugas Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Teknik AI Lainnya** || | -| 21 | [Algoritma Genetika](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 21 | [Algoritme Genetik](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Sistem Multi-Agen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etika AI** | | | | 24 | [Etika AI dan AI yang Bertanggung Jawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsip AI yang Bertanggung Jawab](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Ekstra** | | | +| IX | **Tambahan** | | | | 25 | [Jaringan Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Setiap pelajaran berisi -* Materi pra-baca -* Jupyter Notebooks yang dapat dieksekusi, yang sering kali spesifik untuk framework (**PyTorch** atau **TensorFlow**). Notebook yang dapat dieksekusi juga berisi banyak materi teoretis, jadi untuk memahami topik Anda perlu melalui setidaknya satu versi notebook (baik PyTorch atau TensorFlow). -* **Lab** yang tersedia untuk beberapa topik, yang memberi Anda kesempatan untuk mencoba menerapkan materi yang telah Anda pelajari pada masalah tertentu. -* Beberapa bagian berisi tautan ke modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang membahas topik terkait. +* Materi bacaan pendahuluan +* Jupyter Notebook yang dapat dijalankan, yang sering kali spesifik untuk framework (**PyTorch** atau **TensorFlow**). Notebook yang bisa dijalankan juga berisi banyak materi teoretis, jadi untuk memahami topik Anda perlu melalui setidaknya satu versi notebook (baik PyTorch atau TensorFlow). +* **Lab** tersedia untuk beberapa topik, yang memberi Anda kesempatan untuk mencoba menerapkan materi yang telah Anda pelajari ke masalah tertentu. +* Beberapa bagian mengandung tautan ke modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang membahas topik terkait. ## Memulai -### 🎯 Baru di AI? Mulai di sini! +### 🎯 Baru di AI? Mulai Di Sini! -Jika Anda benar-benar baru di AI dan ingin contoh cepat serta praktik, lihat [**Contoh Ramah Pemula**](./examples/README.md) kami! Ini mencakup: +Jika Anda benar-benar baru di AI dan menginginkan contoh cepat dan praktis, lihat [**Contoh Ramah Pemula**](./examples/README.md)! Ini mencakup: -- 🌟 **Hello AI World** - Program AI pertama Anda (pengenalan pola) +- 🌟 **Halo Dunia AI** - Program AI pertama Anda (pengenalan pola) - 🧠 **Jaringan Neural Sederhana** - Bangun jaringan neural dari awal -- 🖼️ **Klasifikasi Gambar** - Klasifikasikan gambar dengan komentar rinci -- 💬 **Sentimen Teks** - Analisis teks positif/negatif +- 🖼️ **Klasifikator Gambar** - Klasifikasikan gambar dengan komentar terperinci +- 💬 **Sentimen Teks** - Menganalisis teks positif/negatif -Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum masuk ke kurikulum penuh. +Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum memasuki kurikulum penuh. -### 📚 Pengaturan Kurikulum Penuh +### 📚 Pengaturan Kurikulum Lengkap -- Kami telah membuat [pelajaran pengaturan](./lessons/0-course-setup/setup.md) untuk membantu Anda mengatur lingkungan pengembangan Anda. - Untuk Pendidik, kami juga telah membuat [pelajaran pengaturan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk Anda! -- Cara [Menjalankan kode di VSCode atau Codepace](./lessons/0-course-setup/how-to-run.md) +- Kami telah membuat [pelajaran pengaturan](./lessons/0-course-setup/setup.md) untuk membantu Anda dalam mengatur lingkungan pengembangan Anda. - Untuk Pendidik, kami juga telah membuat [pelajaran pengaturan kurikulum](./lessons/0-course-setup/for-teachers.md)! +- Cara [Menjalankan kode di VSCode atau Codespace](./lessons/0-course-setup/how-to-run.md) Ikuti langkah-langkah ini: @@ -147,81 +146,81 @@ Fork Repository: Klik tombol "Fork" di pojok kanan atas halaman ini. Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Jangan lupa untuk memberikan bintang (🌟) pada repo ini agar lebih mudah ditemukan nanti. +Jangan lupa beri bintang (🌟) pada repo ini agar lebih mudah ditemukan nanti. -## Bertemu dengan Pembelajar Lain +## Bertemu dengan Learners lain -Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan pembelajar lain yang mengikuti kursus ini serta dapatkan dukungan. +Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan peserta lain yang mengambil kursus ini serta mendapatkan dukungan. -Jika Anda memiliki masukan produk atau pertanyaan saat membangun, kunjungi [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Jika Anda memiliki umpan balik produk atau pertanyaan saat membangun, kunjungi [Forum Pengembang Azure AI Foundry](https://aka.ms/foundry/forum) ## Kuis -> **Catatan tentang kuis**: Semua kuis terdapat di folder Quiz-app di etc\quiz-app, atau [Online di sini](https://ff-quizzes.netlify.app/) Kuis tersebut terhubung di dalam pelajaran, aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti petunjuk di folder `quiz-app`. Kuis-kuis ini sedang secara bertahap dilokalisasi. +> **Catatan tentang kuis**: Semua kuis terdapat di folder Quiz-app di etc\quiz-app, atau [Online Di Sini](https://ff-quizzes.netlify.app/) Kuis ini terhubung dari dalam pelajaran, aplikasi kuis dapat dijalankan secara lokal atau di-deploy ke Azure; ikuti petunjuk di folder `quiz-app`. Kuis-kuis ini sedang secara bertahap dialihbahasakan. -## Butuh Bantuan +## Bantuan Dibutuhkan -Apakah Anda punya saran atau menemukan kesalahan ejaan atau kode? Buat masalah atau buat pull request. +Apakah Anda memiliki saran atau menemukan kesalahan ejaan atau kode? Buatlah issue atau buat pull request. -## Ucapan Terima Kasih Khusus +## Terima Kasih Khusus * **✍️ Penulis Utama:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 Ilustrator Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Pembuat Kuis:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Kontributor Inti:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Kontributor Utama:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Kurikulum Lainnya -Tim kami membuat kurikulum lain! Lihat: +Tim kami menghasilkan kurikulum lain! Lihat: ### LangChain -[![LangChain4j untuk Pemula](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js untuk Pemula](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agen -[![AZD untuk Pemula](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI untuk Pemula](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP untuk Pemula](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Agen AI untuk Pemula](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Seri AI Generatif -[![AI Generatif untuk Pemula](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Generatif (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![AI Generatif (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![AI Generatif (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- ### Pembelajaran Inti -[![ML untuk Pemula](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science untuk Pemula](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI untuk Pemula](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Keamanan Siber untuk Pemula](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev untuk Pemula](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT untuk Pemula](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![Pengembangan XR untuk Pemula](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Seri Copilot -[![Copilot untuk Pemrograman Berpasangan AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot untuk C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Petualangan Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Mendapatkan Bantuan -Jika Anda mengalami kebuntuan atau memiliki pertanyaan tentang pembuatan aplikasi AI. Bergabunglah dengan pembelajar lain dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang suportif di mana pertanyaan diterima dan pengetahuan dibagikan secara bebas. +Jika Anda mengalami kebuntuan atau memiliki pertanyaan tentang membangun aplikasi AI. Bergabunglah dengan sesama pelajar dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang mendukung di mana pertanyaan disambut dan pengetahuan dibagikan secara bebas. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Jika Anda memiliki masukan produk atau menemukan kesalahan saat membangun kunjungi: +Jika Anda memiliki umpan balik produk atau kesalahan saat membangun, kunjungi: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -229,5 +228,5 @@ Jika Anda memiliki masukan produk atau menemukan kesalahan saat membangun kunjun **Penafian**: -Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurasi, mohon diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang sahih. Untuk informasi penting, disarankan menggunakan terjemahan profesional dari penerjemah manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau salah tafsir yang timbul dari penggunaan terjemahan ini. +Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang sahih. Untuk informasi penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang salah yang timbul dari penggunaan terjemahan ini. \ No newline at end of file diff --git a/translations/id/lessons/0-course-setup/how-to-run.md b/translations/id/lessons/0-course-setup/how-to-run.md index 3936100a..70334b26 100644 --- a/translations/id/lessons/0-course-setup/how-to-run.md +++ b/translations/id/lessons/0-course-setup/how-to-run.md @@ -1,21 +1,21 @@ # Cara Menjalankan Kode -Kurikulum ini berisi banyak contoh kode yang dapat dijalankan dan laboratorium yang mungkin ingin Anda coba. Untuk melakukannya, Anda perlu kemampuan untuk menjalankan kode Python di Jupyter Notebooks yang disediakan sebagai bagian dari kurikulum ini. Ada beberapa opsi untuk menjalankan kode: +Kurikulum ini berisi banyak contoh dan lab yang dapat dieksekusi yang ingin Anda jalankan. Untuk melakukan ini, Anda memerlukan kemampuan untuk menjalankan kode Python di Jupyter Notebooks yang disediakan sebagai bagian dari kurikulum ini. Anda memiliki beberapa opsi untuk menjalankan kodenya: ## Menjalankan secara lokal di komputer Anda -Untuk menjalankan kode secara lokal di komputer Anda, Anda perlu memiliki beberapa versi Python yang terinstal. Saya pribadi merekomendasikan untuk menginstal **[miniconda](https://conda.io/en/latest/miniconda.html)** - ini adalah instalasi yang cukup ringan yang mendukung pengelola paket `conda` untuk berbagai **lingkungan virtual** Python. +Untuk menjalankan kode secara lokal di komputer Anda, diperlukan instalasi Python. Salah satu rekomendasinya adalah menginstal **[miniconda](https://conda.io/en/latest/miniconda.html)** - ini adalah instalasi yang relatif ringan yang mendukung pengelola paket `conda` untuk berbagai **lingkungan virtual** Python. -Setelah Anda menginstal miniconda, Anda perlu mengkloning repositori dan membuat lingkungan virtual yang akan digunakan untuk kursus ini: +Setelah Anda menginstal miniconda, kloning repositori dan buat lingkungan virtual yang akan digunakan untuk kursus ini: ```bash git clone http://github.com/microsoft/ai-for-beginners @@ -26,17 +26,17 @@ conda activate ai4beg ### Menggunakan Visual Studio Code dengan Ekstensi Python -Cara terbaik untuk menggunakan kurikulum ini adalah dengan membukanya di [Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) dengan [Ekstensi Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). +Kurikulum ini paling baik digunakan saat membukanya di [Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) dengan [Ekstensi Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). -> **Note**: Setelah Anda mengkloning dan membuka direktori di VS Code, VS Code akan secara otomatis menyarankan Anda untuk menginstal ekstensi Python. Anda juga perlu menginstal miniconda seperti yang dijelaskan di atas. +> **Catatan**: Setelah Anda mengkloning dan membuka direktori di VS Code, secara otomatis akan menyarankan Anda untuk menginstal ekstensi Python. Anda juga perlu menginstal miniconda seperti yang dijelaskan di atas. -> **Note**: Jika VS Code menyarankan Anda untuk membuka kembali repositori dalam container, Anda perlu menolak ini untuk menggunakan instalasi Python lokal. +> **Catatan**: Jika VS Code menyarankan Anda untuk membuka kembali repositori dalam sebuah kontainer, Anda harus menolak ini untuk menggunakan instalasi Python lokal. -### Menggunakan Jupyter di Browser +### Menggunakan Jupyter di Peramban -Anda juga dapat menggunakan lingkungan Jupyter langsung dari browser di komputer Anda. Sebenarnya, baik Jupyter klasik maupun Jupyter Hub menyediakan lingkungan pengembangan yang cukup nyaman dengan fitur auto-completion, penyorotan kode, dll. +Anda juga dapat menggunakan lingkungan Jupyter dari peramban di komputer Anda sendiri. Baik Jupyter klasik maupun JupyterHub menyediakan lingkungan pengembangan yang nyaman dengan fitur pelengkapan otomatis, penyorotan kode, dll. -Untuk memulai Jupyter secara lokal, pergi ke direktori kursus, dan jalankan: +Untuk memulai Jupyter secara lokal, buka direktori kursus, dan jalankan: ```bash jupyter notebook @@ -47,33 +47,34 @@ jupyterhub ``` Kemudian Anda dapat menavigasi ke salah satu file `.ipynb`, membukanya, dan mulai bekerja. -### Menjalankan di container +### Menjalankan dalam kontainer -Alternatif lain untuk instalasi Python adalah menjalankan kode di container. Karena repositori kami berisi folder `.devcontainer` khusus yang memberikan instruksi tentang cara membangun container untuk repositori ini, VS Code akan menawarkan Anda untuk membuka kembali kode di container. Ini akan membutuhkan instalasi Docker, dan juga lebih kompleks, jadi kami merekomendasikan ini untuk pengguna yang lebih berpengalaman. +Alternatif lain untuk instalasi Python adalah menjalankan kode dalam sebuah kontainer. Karena repositori kami menyediakan folder khusus `.devcontainer` yang menunjukkan cara membangun kontainer untuk repositori ini, VS Code menawarkan kesempatan untuk membuka kembali kode di dalam kontainer. Ini memerlukan instalasi Docker, dan juga akan lebih kompleks, sehingga kami merekomendasikan ini untuk pengguna yang lebih berpengalaman. ## Menjalankan di Cloud -Jika Anda tidak ingin menginstal Python secara lokal, dan memiliki akses ke beberapa sumber daya cloud - alternatif yang baik adalah menjalankan kode di cloud. Ada beberapa cara untuk melakukannya: +Jika Anda tidak ingin menginstal Python secara lokal, dan memiliki akses ke beberapa sumber daya cloud - alternatif yang baik adalah menjalankan kode di cloud. Ada beberapa cara yang bisa Anda lakukan: -* Menggunakan **[GitHub Codespaces](https://github.com/features/codespaces)**, yang merupakan lingkungan virtual yang dibuat untuk Anda di GitHub, dapat diakses melalui antarmuka browser VS Code. Jika Anda memiliki akses ke Codespaces, Anda hanya perlu mengklik tombol **Code** di repositori, memulai codespace, dan langsung menjalankan kode. +* Menggunakan **[GitHub Codespaces](https://github.com/features/codespaces)**, yang merupakan lingkungan virtual yang dibuat untuk Anda di GitHub, dapat diakses melalui antarmuka peramban VS Code. Jika Anda memiliki akses ke Codespaces, Anda cukup mengklik tombol **Code** di repo, memulai codespace, dan langsung dapat menjalankan kodenya. +* Menggunakan **[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) menyediakan sumber daya komputasi gratis di cloud bagi orang-orang seperti Anda untuk mencoba beberapa kode di GitHub. Ada tombol di halaman depan untuk membuka repositori di Binder - ini akan membawa Anda dengan cepat ke situs binder, yang akan membangun kontainer dasar dan memulai antarmuka web Jupyter untuk Anda dengan mulus. -* Menggunakan **[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) adalah sumber daya komputasi gratis yang disediakan di cloud untuk orang-orang seperti Anda untuk mencoba beberapa kode di GitHub. Ada tombol di halaman depan untuk membuka repositori di Binder - ini akan dengan cepat membawa Anda ke situs Binder, yang akan membangun container yang mendasari dan memulai antarmuka web Jupyter untuk Anda secara mulus. - -> **Note**: Untuk mencegah penyalahgunaan, Binder memiliki akses ke beberapa sumber daya web yang diblokir. Hal ini dapat mencegah beberapa kode yang mengambil model dan/atau dataset dari Internet publik untuk bekerja. Anda mungkin perlu mencari solusi alternatif. Selain itu, sumber daya komputasi yang disediakan oleh Binder cukup dasar, sehingga pelatihan akan lambat, terutama pada pelajaran yang lebih kompleks di kemudian hari. +> **Catatan**: Untuk mencegah penyalahgunaan, Binder memblokir akses ke beberapa sumber daya web. Ini mungkin menyebabkan beberapa kode tidak dapat bekerja, yang mengambil model dan/atau dataset dari Internet publik. Anda mungkin perlu mencari solusi alternatif. Selain itu, sumber daya komputasi yang disediakan oleh Binder cukup dasar, sehingga pelatihan akan lambat, terutama pada pelajaran selanjutnya yang lebih kompleks. ## Menjalankan di Cloud dengan GPU -Beberapa pelajaran di kemudian hari dalam kurikulum ini akan sangat diuntungkan dari dukungan GPU, karena jika tidak, pelatihan akan sangat lambat. Ada beberapa opsi yang dapat Anda ikuti, terutama jika Anda memiliki akses ke cloud baik melalui [Azure for Students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-77998-cacaste), atau melalui institusi Anda: +Beberapa pelajaran akhir dalam kurikulum ini akan sangat diuntungkan dengan dukungan GPU. Pelatihan model, misalnya, bisa sangat lambat jika tidak menggunakan GPU. Ada beberapa opsi yang dapat Anda ikuti, terutama jika Anda memiliki akses ke cloud baik melalui [Azure for Students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-77998-cacaste), atau melalui institusi Anda: -* Membuat [Data Science Virtual Machine](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) dan menghubungkannya melalui Jupyter. Anda kemudian dapat mengkloning repositori langsung ke mesin tersebut, dan mulai belajar. VM seri NC memiliki dukungan GPU. +* Buat [Data Science Virtual Machine](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) dan sambungkan ke sana melalui Jupyter. Anda kemudian dapat mengkloning repo langsung ke mesin tersebut, dan mulai belajar. NC-series VM menyediakan dukungan GPU. -> **Note**: Beberapa langganan, termasuk Azure for Students, tidak menyediakan dukungan GPU secara default. Anda mungkin perlu meminta tambahan inti GPU melalui permintaan dukungan teknis. +> **Catatan**: Beberapa langganan, termasuk Azure for Students, tidak menyediakan dukungan GPU secara default. Anda mungkin perlu mengajukan permintaan dukungan teknis untuk mendapatkan core GPU tambahan. -* Membuat [Azure Machine Learning Workspace](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) dan kemudian menggunakan fitur Notebook di sana. [Video ini](https://azure-for-academics.github.io/quickstart/azureml-papers/) menunjukkan cara mengkloning repositori ke notebook Azure ML dan mulai menggunakannya. +* Buat [Azure Machine Learning Workspace](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) dan gunakan fitur Notebook di sana. [Video ini](https://azure-for-academics.github.io/quickstart/azureml-papers/) menunjukkan cara mengkloning repositori ke notebook Azure ML dan mulai menggunakannya. -Anda juga dapat menggunakan Google Colab, yang dilengkapi dengan beberapa dukungan GPU gratis, dan mengunggah Jupyter Notebooks ke sana untuk menjalankannya satu per satu. +Anda juga dapat menggunakan Google Colab, yang menyediakan dukungan GPU gratis terbatas, dan mengunggah Jupyter Notebooks ke sana untuk dijalankan satu per satu. --- -**Penafian**: -Dokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk memberikan hasil yang akurat, harap diingat bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini. \ No newline at end of file + +**Penafian**: +Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurasi, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidaktepatan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang berwenang. Untuk informasi yang penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau salah tafsir yang timbul dari penggunaan terjemahan ini. + \ No newline at end of file diff --git a/translations/id/lessons/2-Symbolic/Animals.ipynb b/translations/id/lessons/2-Symbolic/Animals.ipynb index 5a006726..46590c23 100644 --- a/translations/id/lessons/2-Symbolic/Animals.ipynb +++ b/translations/id/lessons/2-Symbolic/Animals.ipynb @@ -8,23 +8,23 @@ "source": [ "# Menerapkan Sistem Pakar Hewan\n", "\n", - "Contoh dari [Kurikulum AI untuk Pemula](http://github.com/microsoft/ai-for-beginners).\n", + "Sebuah contoh dari [Kurikulum AI untuk Pemula](http://github.com/microsoft/ai-for-beginners).\n", "\n", - "Dalam contoh ini, kita akan menerapkan sistem berbasis pengetahuan sederhana untuk menentukan jenis hewan berdasarkan beberapa karakteristik fisik. Sistem ini dapat direpresentasikan dengan pohon AND-OR berikut (ini adalah bagian dari keseluruhan pohon, kita dapat dengan mudah menambahkan beberapa aturan lagi):\n", + "Dalam contoh ini, kita akan menerapkan sistem berbasis pengetahuan sederhana untuk menentukan hewan berdasarkan beberapa karakteristik fisik. Sistem ini dapat direpresentasikan oleh pohon AND-OR berikut (ini adalah sebagian dari keseluruhan pohon, kita dapat dengan mudah menambahkan beberapa aturan lagi):\n", "\n", - "![](../../../../translated_images/id/AND-OR-Tree.5592d2c70187f283.webp)\n" + "![](../../../../../../translated_images/id/AND-OR-Tree.5592d2c70187f283.webp)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Sistem pakar kita sendiri dengan inferensi mundur\n", + "## Shell sistem ahli kami sendiri dengan inferensi mundur\n", "\n", - "Mari kita coba mendefinisikan bahasa sederhana untuk representasi pengetahuan berdasarkan aturan produksi. Kita akan menggunakan kelas Python sebagai kata kunci untuk mendefinisikan aturan. Pada dasarnya, akan ada 3 jenis kelas:\n", - "* `Ask` mewakili sebuah pertanyaan yang perlu diajukan kepada pengguna. Kelas ini berisi kumpulan jawaban yang mungkin.\n", - "* `If` mewakili sebuah aturan, dan ini hanyalah sintaksis tambahan untuk menyimpan isi dari aturan tersebut.\n", - "* `AND`/`OR` adalah kelas untuk merepresentasikan cabang AND/OR dari pohon. Kelas ini hanya menyimpan daftar argumen di dalamnya. Untuk menyederhanakan kode, semua fungsionalitas didefinisikan di kelas induk `Content`.\n" + "Mari kita coba mendefinisikan bahasa sederhana untuk representasi pengetahuan berdasarkan aturan produksi. Kita akan menggunakan kelas Python sebagai kata kunci untuk mendefinisikan aturan. Pada dasarnya ada 3 jenis kelas:\n", + "* `Ask` mewakili pertanyaan yang perlu diajukan kepada pengguna. Ini berisi kumpulan jawaban yang mungkin.\n", + "* `If` mewakili sebuah aturan, dan ini hanyalah gula sintaksis untuk menyimpan isi aturan\n", + "* `AND`/`OR` adalah kelas untuk merepresentasikan cabang AND/OR dari pohon. Mereka hanya menyimpan daftar argumen di dalamnya. Untuk menyederhanakan kode, semua fungsionalitas didefinisikan di kelas induk `Content`\n" ] }, { @@ -66,7 +66,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Dalam sistem kami, memori kerja akan berisi daftar **fakta** sebagai **pasangan atribut-nilai**. Basis pengetahuan dapat didefinisikan sebagai satu kamus besar yang memetakan tindakan (fakta baru yang harus dimasukkan ke dalam memori kerja) ke kondisi, yang diekspresikan sebagai ekspresi AND-OR. Selain itu, beberapa fakta dapat di-`Ask`.\n" + "Dalam sistem kami, memori kerja akan berisi daftar **fakta** sebagai **pasangan atribut-nilai**. Basis pengetahuan dapat didefinisikan sebagai satu kamus besar yang memetakan tindakan (fakta baru yang harus dimasukkan ke dalam memori kerja) ke kondisi, yang diungkapkan sebagai ekspresi AND-OR. Selain itu, beberapa fakta dapat `Ditanyakan`.\n" ] }, { @@ -99,13 +99,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Untuk melakukan inferensi mundur, kita akan mendefinisikan kelas `Knowledgebase`. Kelas ini akan mencakup:\n", - "* `memory` kerja - sebuah dictionary yang memetakan atribut ke nilai\n", + "Untuk melakukan inferensi mundur, kita akan mendefinisikan kelas `Knowledgebase`. Kelas ini akan berisi:\n", + "* `memory` kerja - sebuah kamus yang memetakan atribut ke nilai\n", "* `rules` Knowledgebase dalam format seperti yang telah didefinisikan di atas\n", "\n", "Dua metode utama adalah:\n", - "* `get` untuk mendapatkan nilai dari sebuah atribut, melakukan inferensi jika diperlukan. Sebagai contoh, `get('color')` akan mendapatkan nilai dari slot warna (akan bertanya jika diperlukan, dan menyimpan nilai tersebut untuk penggunaan selanjutnya di memori kerja). Jika kita bertanya `get('color:blue')`, itu akan meminta warna, lalu mengembalikan nilai `y`/`n` tergantung pada warna.\n", - "* `eval` melakukan inferensi sebenarnya, yaitu menelusuri pohon AND/OR, mengevaluasi sub-tujuan, dll.\n" + "* `get` untuk memperoleh nilai sebuah atribut, melakukan inferensi jika perlu. Misalnya, `get('color')` akan mengambil nilai dari slot warna (akan menanyakan jika perlu, dan menyimpan nilai tersebut untuk penggunaan selanjutnya dalam memory kerja). Jika kita meminta `get('color:blue')`, itu akan menanyakan warna, lalu mengembalikan nilai `y`/`n` tergantung pada warnanya.\n", + "* `eval` melakukan inferensi aktual, yaitu menelusuri pohon AND/OR, mengevaluasi sub-tujuan, dll.\n" ] }, { @@ -172,7 +172,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Sekarang mari kita definisikan basis pengetahuan hewan kita dan lakukan konsultasi. Perhatikan bahwa panggilan ini akan mengajukan pertanyaan kepada Anda. Anda dapat menjawab dengan mengetik `y`/`n` untuk pertanyaan ya-tidak, atau dengan menentukan angka (0..N) untuk pertanyaan dengan jawaban pilihan ganda yang lebih panjang.\n" + "Sekarang mari kita definisikan basis pengetahuan hewan kita dan lakukan konsultasi. Perlu diketahui bahwa panggilan ini akan menanyakan kepada Anda beberapa pertanyaan. Anda dapat menjawab dengan mengetik `y`/`n` untuk pertanyaan ya-tidak, atau dengan menentukan angka (0..N) untuk pertanyaan dengan pilihan ganda yang lebih panjang.\n" ] }, { @@ -229,11 +229,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Menggunakan PyKnow untuk Inferensi Maju\n", + "## Menggunakan Experta untuk Inferensi Maju\n", "\n", - "Dalam contoh berikut, kita akan mencoba menerapkan inferensi maju menggunakan salah satu pustaka untuk representasi pengetahuan, [PyKnow](https://github.com/buguroo/pyknow/). **PyKnow** adalah pustaka untuk membuat sistem inferensi maju di Python, yang dirancang mirip dengan sistem klasik lama [CLIPS](http://www.clipsrules.net/index.html).\n", + "Dalam contoh berikut, kita akan mencoba mengimplementasikan inferensi maju menggunakan salah satu pustaka untuk representasi pengetahuan, [Experta](https://github.com/nilp0inter/experta). **Experta** adalah pustaka untuk membuat sistem inferensi maju di Python, yang dirancang agar mirip dengan sistem klasik lama [CLIPS](http://www.clipsrules.net/index.html).\n", "\n", - "Kita sebenarnya bisa saja mengimplementasikan forward chaining sendiri tanpa banyak masalah, tetapi implementasi yang sederhana biasanya tidak terlalu efisien. Untuk pencocokan aturan yang lebih efektif, digunakan algoritma khusus [Rete](https://en.wikipedia.org/wiki/Rete_algorithm).\n" + "Kita juga bisa mengimplementasikan chaining maju sendiri tanpa banyak masalah, tetapi implementasi yang naif biasanya tidak terlalu efisien. Untuk pencocokan aturan yang lebih efektif, digunakan algoritma khusus [Rete](https://en.wikipedia.org/wiki/Rete_algorithm).\n" ] }, { @@ -247,32 +247,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "Collecting git+https://github.com/buguroo/pyknow/\n", - " Cloning https://github.com/buguroo/pyknow/ to /tmp/pip-req-build-3cqeulyl\n", - " Running command git clone --filter=blob:none --quiet https://github.com/buguroo/pyknow/ /tmp/pip-req-build-3cqeulyl\n", - " Resolved https://github.com/buguroo/pyknow/ to commit 48818336f2e9a126f1964f2d8dc22d37ff800fe8\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting frozendict==1.2\n", - " Using cached frozendict-1.2.tar.gz (2.6 kB)\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting schema==0.6.7\n", - " Using cached schema-0.6.7-py2.py3-none-any.whl (14 kB)\n", - "Building wheels for collected packages: pyknow, frozendict\n", - " Building wheel for pyknow (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for pyknow: filename=pyknow-1.7.0-py3-none-any.whl size=34228 sha256=b7de5b09292c4007667c72f69b98d5a1b5f7324ff15f9dd8e077c3d5f7aade42\n", - " Stored in directory: /tmp/pip-ephem-wheel-cache-k7jpave7/wheels/81/1a/d3/f6c15dbe1955598a37755215f2a10449e7418500d7bd4b9508\n", - " Building wheel for frozendict (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for frozendict: filename=frozendict-1.2-py3-none-any.whl size=3148 sha256=2863d55c240d2409cddf05ccfe600591f8478681549fc97555c47c90dc6bb160\n", - " Stored in directory: /home/rg/.cache/pip/wheels/49/ac/f8/cb8120244e710bdb479c86198b03c7b08c3c2d3d2bf448fd6e\n", - "Successfully built pyknow frozendict\n", - "Installing collected packages: schema, frozendict, pyknow\n", - "Successfully installed frozendict-1.2 pyknow-1.7.0 schema-0.6.7\n" + "Collecting git+https://github.com/nilp0inter/experta\n", + " Cloning https://github.com/nilp0inter/experta to /tmp/pip-req-build-7qurtwk3\n", + " Running command git clone --filter=blob:none --quiet https://github.com/nilp0inter/experta /tmp/pip-req-build-7qurtwk3\n", + " Resolved https://github.com/nilp0inter/experta to commit c6d5834b123861f5ae09e7d07027dc98bec58741\n", + " Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hRequirement already satisfied: frozendict~=2.4.6 in /opt/conda/envs/ai4beg/lib/python3.12/site-packages (from experta==1.9.5.dev1) (2.4.7)\n", + "Collecting schema~=0.6.7 (from experta==1.9.5.dev1)\n", + " Downloading schema-0.6.8-py2.py3-none-any.whl.metadata (14 kB)\n", + "Downloading schema-0.6.8-py2.py3-none-any.whl (14 kB)\n", + "Building wheels for collected packages: experta\n", + " Building wheel for experta (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for experta: filename=experta-1.9.5.dev1-py3-none-any.whl size=34804 sha256=888c459512a5e713f4b674caa9a0f96cfdf07ec0d6eb56cc318ce0653d218014\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-1eeii9zy/wheels/3d/e8/bb/22d7956359603fa8dd679aa09f5b8efb3f29991c3986fdc787\n", + "Successfully built experta\n", + "Installing collected packages: schema, experta\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [experta]\n", + "\u001b[1A\u001b[2KSuccessfully installed experta-1.9.5.dev1 schema-0.6.8\n" ] } ], "source": [ "import sys\n", - "!{sys.executable} -m pip install git+https://github.com/buguroo/pyknow/" + "!{sys.executable} -m pip install git+https://github.com/nilp0inter/experta" ] }, { @@ -283,15 +282,15 @@ }, "outputs": [], "source": [ - "from pyknow import *\n", - "#import pyknow" + "from experta import *\n", + "#import experta" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Kami akan mendefinisikan sistem kami sebagai sebuah kelas yang merupakan subclass dari `KnowledgeEngine`. Setiap aturan didefinisikan oleh fungsi terpisah dengan anotasi `@Rule`, yang menentukan kapan aturan tersebut harus dijalankan. Di dalam aturan, kita dapat menambahkan fakta baru menggunakan fungsi `declare`, dan penambahan fakta tersebut akan mengakibatkan beberapa aturan lain dipanggil oleh mesin inferensi maju.\n" + "Kita akan mendefinisikan sistem kita sebagai kelas yang merupakan subclass dari `KnowledgeEngine`. Setiap aturan didefinisikan oleh fungsi terpisah dengan anotasi `@Rule`, yang menentukan kapan aturan tersebut harus dijalankan. Di dalam aturan, kita dapat menambahkan fakta baru menggunakan fungsi `declare`, dan penambahan fakta-fakta tersebut akan menyebabkan beberapa aturan lain dipanggil oleh mesin inferensi maju.\n" ] }, { @@ -378,7 +377,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Setelah kita mendefinisikan basis pengetahuan, kita mengisi memori kerja dengan beberapa fakta awal, lalu memanggil metode `run()` untuk melakukan inferensi. Anda dapat melihat hasilnya bahwa fakta-fakta baru yang disimpulkan ditambahkan ke memori kerja, termasuk fakta akhir tentang hewan tersebut (jika kita mengatur semua fakta awal dengan benar).\n" + "Setelah kita mendefinisikan basis pengetahuan, kita mengisi memori kerja dengan beberapa fakta awal, dan kemudian memanggil metode `run()` untuk melakukan inferensi. Anda dapat melihat sebagai hasilnya bahwa fakta-fakta baru yang disimpulkan ditambahkan ke memori kerja, termasuk fakta akhir tentang hewan tersebut (jika kita mengatur semua fakta awal dengan benar).\n" ] }, { @@ -440,7 +439,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Penafian**: \nDokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan hasil yang akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang berwenang. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.\n" + "---\n\n\n**Penafian**:\nDokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurasi, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang sah. Untuk informasi penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.\n\n" ] } ], @@ -467,8 +466,8 @@ "version": "3.11.2" }, "coopTranslator": { - "original_hash": "ab2bd97b0453415b89a469284609a8ce", - "translation_date": "2025-08-29T14:42:07+00:00", + "original_hash": "8ef43db4b9182239fd150a76bd494fdb", + "translation_date": "2026-01-16T03:29:50+00:00", "source_file": "lessons/2-Symbolic/Animals.ipynb", "language_code": "id" } diff --git a/translations/id/lessons/2-Symbolic/README.md b/translations/id/lessons/2-Symbolic/README.md index ccbad73b..a55d774c 100644 --- a/translations/id/lessons/2-Symbolic/README.md +++ b/translations/id/lessons/2-Symbolic/README.md @@ -1,116 +1,116 @@ # Representasi Pengetahuan dan Sistem Pakar -![Ringkasan konten AI simbolik](../../../../translated_images/id/ai-symbolic.715a30cb610411a6.webp) +![Ringkasan konten AI Simbolik](../../../../../../translated_images/id/ai-symbolic.715a30cb610411a6.webp) > Sketchnote oleh [Tomomi Imura](https://twitter.com/girlie_mac) -Pencarian kecerdasan buatan didasarkan pada upaya untuk memahami dunia seperti yang dilakukan manusia. Tapi bagaimana cara melakukannya? +Pencarian kecerdasan buatan didasarkan pada pencarian pengetahuan, untuk memahami dunia serupa dengan bagaimana manusia melakukannya. Tetapi bagaimana Anda bisa melakukannya? -## [Kuis pra-kuliah](https://ff-quizzes.netlify.app/en/ai/quiz/3) +## [Kuis pra-ceramah](https://ff-quizzes.netlify.app/en/ai/quiz/3) -Pada masa awal AI, pendekatan top-down untuk menciptakan sistem cerdas (dibahas dalam pelajaran sebelumnya) sangat populer. Ide dasarnya adalah mengekstrak pengetahuan dari manusia ke dalam bentuk yang dapat dibaca oleh mesin, lalu menggunakannya untuk menyelesaikan masalah secara otomatis. Pendekatan ini didasarkan pada dua gagasan besar: +Pada masa awal AI, pendekatan top-down untuk membuat sistem cerdas (dibahas pada pelajaran sebelumnya) sangat populer. Idenya adalah mengekstrak pengetahuan dari manusia ke dalam bentuk yang dapat dibaca mesin, dan kemudian menggunakannya untuk menyelesaikan masalah secara otomatis. Pendekatan ini didasarkan pada dua ide besar: * Representasi Pengetahuan * Penalaran ## Representasi Pengetahuan -Salah satu konsep penting dalam AI simbolik adalah **pengetahuan**. Penting untuk membedakan pengetahuan dari *informasi* atau *data*. Misalnya, kita bisa mengatakan bahwa buku mengandung pengetahuan, karena kita bisa mempelajari buku dan menjadi ahli. Namun, apa yang sebenarnya terkandung dalam buku disebut *data*, dan dengan membaca buku serta mengintegrasikan data ini ke dalam model dunia kita, kita mengubah data menjadi pengetahuan. +Salah satu konsep penting dalam AI Simbolik adalah **pengetahuan**. Penting untuk membedakan pengetahuan dari *informasi* atau *data*. Misalnya, seseorang bisa mengatakan bahwa buku berisi pengetahuan, karena seseorang bisa mempelajari buku dan menjadi seorang ahli. Namun, yang sebenarnya terkandung dalam buku disebut *data*, dan dengan membaca buku dan mengintegrasikan data ini ke dalam model dunia kita, kita mengubah data ini menjadi pengetahuan. -> ✅ **Pengetahuan** adalah sesuatu yang ada di dalam kepala kita dan mewakili pemahaman kita tentang dunia. Pengetahuan diperoleh melalui proses **pembelajaran** aktif, yang mengintegrasikan potongan informasi yang kita terima ke dalam model dunia kita. +> ✅ **Pengetahuan** adalah sesuatu yang ada di dalam kepala kita dan mewakili pemahaman kita tentang dunia. Ini diperoleh melalui proses **pembelajaran** aktif, yang mengintegrasikan potongan-potongan informasi yang kita terima ke dalam model dunia aktif kita. -Sering kali, kita tidak secara ketat mendefinisikan pengetahuan, tetapi kita menyelaraskannya dengan konsep terkait lainnya menggunakan [Piramida DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). Piramida ini mencakup konsep berikut: +Sering kali, kita tidak mendefinisikan pengetahuan secara ketat, tetapi menyelaraskannya dengan konsep terkait lainnya menggunakan [Piramida DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). Ini berisi konsep-konsep berikut: -* **Data** adalah sesuatu yang direpresentasikan dalam media fisik, seperti teks tertulis atau kata-kata yang diucapkan. Data ada secara independen dari manusia dan dapat ditransfer antar individu. -* **Informasi** adalah cara kita menafsirkan data di dalam kepala kita. Misalnya, ketika kita mendengar kata *komputer*, kita memiliki pemahaman tertentu tentang apa itu. -* **Pengetahuan** adalah informasi yang diintegrasikan ke dalam model dunia kita. Misalnya, setelah kita belajar apa itu komputer, kita mulai memiliki gagasan tentang cara kerjanya, berapa harganya, dan untuk apa komputer dapat digunakan. Jaringan konsep yang saling terkait ini membentuk pengetahuan kita. -* **Kebijaksanaan** adalah tingkat pemahaman dunia yang lebih tinggi, yang mewakili *meta-pengetahuan*, misalnya gagasan tentang bagaimana dan kapan pengetahuan harus digunakan. +* **Data** adalah sesuatu yang direpresentasikan dalam media fisik, seperti teks tertulis atau kata-kata yang diucapkan. Data ada secara independen dari manusia dan dapat dipindahkan antar orang. +* **Informasi** adalah bagaimana kita menginterpretasikan data di kepala kita. Misalnya, saat kita mendengar kata *komputer*, kita memiliki pemahaman tentang apa itu. +* **Pengetahuan** adalah informasi yang diintegrasikan ke dalam model dunia kita. Misalnya, setelah kita belajar apa itu komputer, kita mulai memiliki beberapa gagasan tentang cara kerjanya, berapa harganya, dan untuk apa dapat digunakan. Jaringan konsep terkait ini membentuk pengetahuan kita. +* **Kebijaksanaan** adalah tingkat pemahaman kita tentang dunia yang lebih tinggi lagi, dan mewakili *meta-pengetahuan*, misalnya gagasan tentang bagaimana dan kapan pengetahuan itu harus digunakan. - + *Gambar [dari Wikipedia](https://commons.wikimedia.org/w/index.php?curid=37705247), Oleh Longlivetheux - Karya sendiri, CC BY-SA 4.0* -Dengan demikian, masalah **representasi pengetahuan** adalah menemukan cara yang efektif untuk merepresentasikan pengetahuan di dalam komputer dalam bentuk data, agar dapat digunakan secara otomatis. Ini dapat dilihat sebagai spektrum: +Dengan demikian, masalah **representasi pengetahuan** adalah menemukan cara efektif untuk merepresentasikan pengetahuan di dalam komputer dalam bentuk data, agar dapat digunakan secara otomatis. Ini dapat dilihat sebagai spektrum: -![Spektrum representasi pengetahuan](../../../../translated_images/id/knowledge-spectrum.b60df631852c0217.webp) +![Spektrum representasi pengetahuan](../../../../../../translated_images/id/knowledge-spectrum.b60df631852c0217.webp) > Gambar oleh [Dmitry Soshnikov](http://soshnikov.com) -* Di sisi kiri, terdapat jenis representasi pengetahuan yang sangat sederhana yang dapat digunakan secara efektif oleh komputer. Yang paling sederhana adalah algoritmik, di mana pengetahuan direpresentasikan oleh program komputer. Namun, ini bukan cara terbaik untuk merepresentasikan pengetahuan, karena tidak fleksibel. Pengetahuan di dalam kepala kita sering kali tidak bersifat algoritmik. -* Di sisi kanan, terdapat representasi seperti teks alami. Ini adalah yang paling kuat, tetapi tidak dapat digunakan untuk penalaran otomatis. +* Di sisi kiri, terdapat jenis representasi pengetahuan yang sangat sederhana yang dapat digunakan secara efektif oleh komputer. Yang paling sederhana adalah algoritmik, ketika pengetahuan direpresentasikan oleh program komputer. Namun, ini bukan cara terbaik untuk merepresentasikan pengetahuan, karena tidak fleksibel. Pengetahuan di kepala kita sering kali tidak algoritmik. +* Di sisi kanan, ada representasi seperti teks alami. Ini yang paling kuat, tetapi tidak dapat digunakan untuk penalaran otomatis. -> ✅ Pikirkan sejenak tentang bagaimana Anda merepresentasikan pengetahuan di dalam kepala Anda dan mengubahnya menjadi catatan. Apakah ada format tertentu yang membantu Anda mengingat lebih baik? +> ✅ Pikirkan sejenak tentang bagaimana Anda merepresentasikan pengetahuan di kepala Anda dan mengubahnya menjadi catatan. Apakah ada format tertentu yang bekerja dengan baik untuk membantu pengingatan? -## Klasifikasi Representasi Pengetahuan Komputer +## Mengklasifikasikan Representasi Pengetahuan Komputer -Kita dapat mengklasifikasikan berbagai metode representasi pengetahuan komputer ke dalam kategori berikut: +Kita dapat mengklasifikasikan metode representasi pengetahuan komputer ke dalam kategori berikut: -* **Representasi jaringan** didasarkan pada fakta bahwa kita memiliki jaringan konsep yang saling terkait di dalam kepala kita. Kita dapat mencoba mereproduksi jaringan yang sama sebagai graf di dalam komputer - yang disebut **jaringan semantik**. +* **Representasi jaringan** didasarkan pada fakta bahwa kita memiliki jaringan konsep yang saling terkait di kepala kita. Kita dapat mencoba mereproduksi jaringan yang sama sebagai graf di dalam komputer—yang disebut **jaringan semantik**. -1. **Triplet Objek-Atribut-Nilai** atau **pasangan atribut-nilai**. Karena graf dapat direpresentasikan di dalam komputer sebagai daftar simpul dan tepi, kita dapat merepresentasikan jaringan semantik dengan daftar triplet yang berisi objek, atribut, dan nilai. Misalnya, kita membangun triplet berikut tentang bahasa pemrograman: +1. **Triplet Objek-Atribut-Nilai** atau **pasangan atribut-nilai**. Karena graf bisa direpresentasikan di dalam komputer sebagai daftar simpul dan sisi, kita dapat merepresentasikan jaringan semantik dengan daftar triplet, yang berisi objek, atribut, dan nilai. Misalnya, kita membangun triplet berikut tentang bahasa pemrograman: -Objek | Atribut | Nilai --------|-----------|------ -Python | adalah | Bahasa-Tanpa-Tipe -Python | ditemukan-oleh | Guido van Rossum -Python | sintaks-blok | indentasi -Bahasa-Tanpa-Tipe | tidak memiliki | definisi tipe +Objek | Atribut | Nilai +-------|-----------|------ +Python | adalah | Bahasa-Tanpa-Tipe +Python | diciptakan-oleh | Guido van Rossum +Python | sintaks-blok | indentasi +Bahasa-Tanpa-Tipe | tidak memiliki | definisi tipe > ✅ Pikirkan bagaimana triplet dapat digunakan untuk merepresentasikan jenis pengetahuan lainnya. -2. **Representasi hierarkis** menekankan fakta bahwa kita sering kali menciptakan hierarki objek di dalam kepala kita. Misalnya, kita tahu bahwa kenari adalah burung, dan semua burung memiliki sayap. Kita juga memiliki gagasan tentang warna kenari biasanya, dan kecepatan terbangnya. +2. **Representasi hierarki** menekankan fakta bahwa kita sering membuat hierarki objek di kepala kita. Misalnya, kita tahu bahwa burung kenari adalah burung, dan semua burung memiliki sayap. Kita juga memiliki beberapa gagasan tentang warna biasanya kenari, dan kecepatan terbangnya. - - **Representasi bingkai** didasarkan pada merepresentasikan setiap objek atau kelas objek sebagai **bingkai** yang berisi **slot**. Slot memiliki nilai default yang mungkin, batasan nilai, atau prosedur yang disimpan yang dapat dipanggil untuk mendapatkan nilai slot. Semua bingkai membentuk hierarki yang mirip dengan hierarki objek dalam bahasa pemrograman berorientasi objek. - - **Skenario** adalah jenis bingkai khusus yang merepresentasikan situasi kompleks yang dapat berkembang seiring waktu. + - **Representasi bingkai** didasarkan pada merepresentasikan setiap objek atau kelas objek sebagai **bingkai** yang berisi **slot**. Slot memiliki nilai default yang mungkin, batasan nilai, atau prosedur tersimpan yang dapat dipanggil untuk mendapatkan nilai sebuah slot. Semua bingkai membentuk hierarki mirip dengan hierarki objek dalam bahasa pemrograman berorientasi objek. + - **Skenario** adalah jenis bingkai khusus yang merepresentasikan situasi kompleks yang dapat berkembang dalam waktu. **Python** -Slot | Nilai | Nilai Default | Interval | ------|-------|---------------|----------| -Nama | Python | | | -Adalah | Bahasa-Tanpa-Tipe | | | -Penulisan Variabel | | CamelCase | | -Panjang Program | | | 5-5000 baris | -Sintaks Blok | Indentasi | | | +Slot | Nilai | Nilai default | Interval | +-----|-------|---------------|----------| +Nama | Python | | | +Adalah | Bahasa-Tanpa-Tipe | | | +Penulisan Variabel | | CamelCase | | +Panjang Program | | | 5-5000 baris | +Sintaks Blok | Inden | | | -3. **Representasi prosedural** didasarkan pada merepresentasikan pengetahuan dengan daftar tindakan yang dapat dieksekusi ketika kondisi tertentu terjadi. - - Aturan produksi adalah pernyataan if-then yang memungkinkan kita menarik kesimpulan. Misalnya, seorang dokter dapat memiliki aturan yang mengatakan bahwa **JIKA** pasien memiliki demam tinggi **ATAU** tingkat protein C-reaktif tinggi dalam tes darah **MAKA** ia mengalami peradangan. Setelah kita menemukan salah satu kondisi, kita dapat membuat kesimpulan tentang peradangan, lalu menggunakannya dalam penalaran lebih lanjut. +3. **Representasi prosedural** didasarkan pada merepresentasikan pengetahuan dengan daftar aksi yang dapat dijalankan ketika kondisi tertentu terjadi. + - Aturan produksi adalah pernyataan jika-maka yang memungkinkan kita menarik kesimpulan. Misalnya, seorang dokter dapat memiliki aturan yang mengatakan bahwa **JIKA** seorang pasien demam tinggi **ATAU** kadar protein C-reaktif tinggi dalam tes darah **MAKA** ia mengalami peradangan. Setelah kita menemui salah satu kondisi tersebut, kita dapat menarik kesimpulan tentang peradangan, dan kemudian menggunakannya dalam penalaran lebih lanjut. - Algoritma dapat dianggap sebagai bentuk lain dari representasi prosedural, meskipun hampir tidak pernah digunakan langsung dalam sistem berbasis pengetahuan. -4. **Logika** awalnya diusulkan oleh Aristoteles sebagai cara untuk merepresentasikan pengetahuan manusia universal. - - Logika Predikat sebagai teori matematika terlalu kaya untuk dapat dihitung, sehingga biasanya digunakan subsetnya, seperti klausa Horn yang digunakan dalam Prolog. - - Logika Deskriptif adalah keluarga sistem logika yang digunakan untuk merepresentasikan dan menalar tentang hierarki objek dalam representasi pengetahuan terdistribusi seperti *web semantik*. +4. **Logika** awalnya diusulkan oleh Aristoteles sebagai cara untuk merepresentasikan pengetahuan manusia secara universal. + - Logika Predikat sebagai teori matematika terlalu kaya untuk dapat dihitung, oleh karena itu biasanya digunakan subset tertentu, seperti klausa Horn yang digunakan dalam Prolog. + - Logika Deskriptif adalah keluarga sistem logika yang digunakan untuk merepresentasikan dan melakukan penalaran tentang hierarki objek serta representasi pengetahuan terdistribusi seperti *semantic web*. ## Sistem Pakar -Salah satu keberhasilan awal AI simbolik adalah **sistem pakar** - sistem komputer yang dirancang untuk bertindak sebagai pakar dalam domain masalah yang terbatas. Sistem ini didasarkan pada **basis pengetahuan** yang diekstraksi dari satu atau lebih pakar manusia, dan mereka memiliki **mesin inferensi** yang melakukan penalaran di atasnya. +Salah satu keberhasilan awal AI simbolik adalah yang disebut **sistem pakar**—sistem komputer yang dirancang untuk bertindak sebagai ahli dalam domain masalah terbatas. Sistem ini didasarkan pada **basis pengetahuan** yang diambil dari satu atau lebih ahli manusia, dan mereka memiliki **mesin inferensi** yang melakukan penalaran di atasnya. -![Arsitektur Manusia](../../../../translated_images/id/arch-human.5d4d35f1bba3ab1c.webp) | ![Sistem Berbasis Pengetahuan](../../../../translated_images/id/arch-kbs.3ec5c150b09fa8da.webp) +![Arsitektur Manusia](../../../../../../translated_images/id/arch-human.5d4d35f1bba3ab1c.webp) | ![Sistem Berbasis Pengetahuan](../../../../../../translated_images/id/arch-kbs.3ec5c150b09fa8da.webp) ---------------------------------------------|------------------------------------------------ -Struktur sederhana sistem saraf manusia | Arsitektur sistem berbasis pengetahuan +Struktur sederhana sistem saraf manusia | Arsitektur sistem berbasis pengetahuan -Sistem pakar dibangun seperti sistem penalaran manusia, yang mengandung **memori jangka pendek** dan **memori jangka panjang**. Demikian pula, dalam sistem berbasis pengetahuan kita membedakan komponen berikut: +Sistem pakar dibangun seperti sistem penalaran manusia, yang berisi **memori jangka pendek** dan **memori jangka panjang**. Demikian pula, dalam sistem berbasis pengetahuan kita membedakan komponen berikut: -* **Memori masalah**: berisi pengetahuan tentang masalah yang sedang diselesaikan, misalnya suhu atau tekanan darah pasien, apakah ia mengalami peradangan atau tidak, dll. Pengetahuan ini juga disebut **pengetahuan statis**, karena berisi snapshot dari apa yang kita ketahui tentang masalah saat ini - yang disebut *status masalah*. -* **Basis pengetahuan**: merepresentasikan pengetahuan jangka panjang tentang domain masalah. Basis ini diekstraksi secara manual dari pakar manusia, dan tidak berubah dari satu konsultasi ke konsultasi lainnya. Karena memungkinkan kita untuk menavigasi dari satu status masalah ke status lainnya, basis ini juga disebut **pengetahuan dinamis**. -* **Mesin inferensi**: mengatur seluruh proses pencarian dalam ruang status masalah, mengajukan pertanyaan kepada pengguna jika diperlukan. Mesin ini juga bertanggung jawab untuk menemukan aturan yang tepat untuk diterapkan pada setiap status. +* **Memori masalah**: berisi pengetahuan tentang masalah yang sedang diselesaikan, misalnya suhu atau tekanan darah pasien, apakah ia mengalami peradangan atau tidak, dll. Pengetahuan ini juga disebut **pengetahuan statis**, karena berisi snapshot dari apa yang kita ketahui saat ini tentang masalah—disebut *status masalah*. +* **Basis pengetahuan**: merepresentasikan pengetahuan jangka panjang tentang domain masalah. Ini diekstrak secara manual dari para ahli manusia, dan tidak berubah dari konsultasi ke konsultasi. Karena memungkinkan kita untuk bernavigasi dari satu status masalah ke yang lain, ia juga disebut **pengetahuan dinamis**. +* **Mesin inferensi**: mengatur seluruh proses pencarian di ruang status masalah, mengajukan pertanyaan kepada pengguna bila perlu. Mesin ini juga bertanggung jawab untuk menemukan aturan yang tepat untuk diterapkan pada setiap status. -Sebagai contoh, mari kita pertimbangkan sistem pakar berikut untuk menentukan hewan berdasarkan karakteristik fisiknya: +Sebagai contoh, mari kita lihat sistem pakar berikut untuk menentukan hewan berdasarkan karakteristik fisiknya: -![Pohon AND-OR](../../../../translated_images/id/AND-OR-Tree.5592d2c70187f283.webp) +![Pohon AND-OR](../../../../../../translated_images/id/AND-OR-Tree.5592d2c70187f283.webp) > Gambar oleh [Dmitry Soshnikov](http://soshnikov.com) -Diagram ini disebut **pohon AND-OR**, dan merupakan representasi grafis dari serangkaian aturan produksi. Menggambar pohon berguna pada awal proses ekstraksi pengetahuan dari pakar. Untuk merepresentasikan pengetahuan di dalam komputer, lebih nyaman menggunakan aturan: +Diagram ini disebut **pohon AND-OR**, dan ini adalah representasi grafis dari sekumpulan aturan produksi. Menggambar pohon berguna pada awal pengambilan pengetahuan dari ahli. Untuk merepresentasikan pengetahuan di dalam komputer, lebih praktis menggunakan aturan: ``` IF the animal eats meat @@ -120,33 +120,33 @@ OR (animal has sharp teeth ) THEN the animal is a carnivore ``` + +Anda dapat melihat bahwa setiap kondisi di sisi kiri aturan dan aksi merupakan triplet objek-atribut-nilai (OAV). **Memori kerja** berisi set triplet OAV yang sesuai dengan masalah yang sedang diselesaikan. **Mesin aturan** mencari aturan yang kondisinya terpenuhi dan menerapkannya, menambahkan triplet lain ke memori kerja. -Anda dapat melihat bahwa setiap kondisi di sisi kiri aturan dan tindakan pada dasarnya adalah triplet objek-atribut-nilai (OAV). **Memori kerja** berisi kumpulan triplet OAV yang sesuai dengan masalah yang sedang diselesaikan. **Mesin aturan** mencari aturan yang kondisinya terpenuhi dan menerapkannya, menambahkan triplet baru ke memori kerja. +> ✅ Tulislah pohon AND-OR Anda sendiri tentang topik yang Anda sukai! -> ✅ Buat pohon AND-OR Anda sendiri tentang topik yang Anda sukai! +### Inferensi Maju vs. Mundur -### Inferensi Maju vs. Inferensi Mundur +Proses yang dijelaskan di atas disebut **inferensi maju**. Ini dimulai dengan beberapa data awal tentang masalah yang tersedia di memori kerja, dan kemudian mengeksekusi loop penalaran berikut: -Proses yang dijelaskan di atas disebut **inferensi maju**. Proses ini dimulai dengan beberapa data awal tentang masalah yang tersedia di memori kerja, lalu menjalankan loop penalaran berikut: - -1. Jika atribut target ada di memori kerja - berhenti dan berikan hasil -2. Cari semua aturan yang kondisinya saat ini terpenuhi - dapatkan **set konflik** aturan. -3. Lakukan **resolusi konflik** - pilih satu aturan yang akan dieksekusi pada langkah ini. Ada berbagai strategi resolusi konflik: - - Pilih aturan pertama yang dapat diterapkan dalam basis pengetahuan - - Pilih aturan secara acak - - Pilih aturan yang *lebih spesifik*, yaitu aturan yang memenuhi sebagian besar kondisi di "sisi kiri" (LHS) -4. Terapkan aturan yang dipilih dan masukkan potongan pengetahuan baru ke dalam status masalah +1. Jika atribut target ada di memori kerja—berhenti dan berikan hasilnya +2. Cari semua aturan yang kondisinya saat ini terpenuhi—dapatkan **set konflik** aturan. +3. Lakukan **resolusi konflik**—pilih satu aturan yang akan dijalankan pada langkah ini. Bisa ada berbagai strategi resolusi konflik: + - Pilih aturan pertama yang berlaku dalam basis pengetahuan + - Pilih aturan secara acak + - Pilih aturan yang *lebih spesifik*, yaitu yang memenuhi kondisi paling banyak di sisi kiri (LHS) +4. Terapkan aturan yang dipilih dan masukkan potongan pengetahuan baru ke status masalah 5. Ulangi dari langkah 1. -Namun, dalam beberapa kasus kita mungkin ingin memulai dengan pengetahuan kosong tentang masalah, dan mengajukan pertanyaan yang akan membantu kita mencapai kesimpulan. Misalnya, saat melakukan diagnosis medis, kita biasanya tidak melakukan semua analisis medis sebelumnya sebelum mulai mendiagnosis pasien. Sebaliknya, kita ingin melakukan analisis saat keputusan perlu dibuat. +Namun, dalam beberapa kasus kita mungkin ingin memulai dengan pengetahuan kosong tentang masalah, dan mengajukan pertanyaan yang akan membantu kita sampai pada kesimpulan. Misalnya, saat melakukan diagnosis medis, biasanya kita tidak melakukan semua analisis medis terlebih dahulu sebelum mulai mendiagnosis pasien. Kita lebih ingin melakukan analisis saat keputusan perlu dibuat. -Proses ini dapat dimodelkan menggunakan **inferensi mundur**. Proses ini didorong oleh **tujuan** - nilai atribut yang ingin kita temukan: +Proses ini dapat dimodelkan menggunakan **inferensi mundur**. Ini digerakkan oleh **tujuan**—nilai atribut yang ingin kita temukan: -1. Pilih semua aturan yang dapat memberikan nilai tujuan (yaitu dengan tujuan di RHS ("sisi kanan")) - set konflik -1. Jika tidak ada aturan untuk atribut ini, atau ada aturan yang mengatakan bahwa kita harus meminta nilai dari pengguna - tanyakan, jika tidak: -1. Gunakan strategi resolusi konflik untuk memilih satu aturan yang akan kita gunakan sebagai *hipotesis* - kita akan mencoba membuktikannya -1. Ulangi proses secara rekursif untuk semua atribut di LHS aturan, mencoba membuktikan mereka sebagai tujuan -1. Jika pada titik mana pun proses gagal - gunakan aturan lain pada langkah 3. +1. Pilih semua aturan yang dapat memberikan nilai tujuan (yaitu dengan tujuan di sisi kanan ("right-hand-side"))—set konflik +2. Jika tidak ada aturan untuk atribut ini, atau ada aturan yang mengatakan bahwa kita harus menanyakan nilai kepada pengguna—tanyakan, jika tidak: +3. Gunakan strategi resolusi konflik untuk memilih satu aturan yang akan kita gunakan sebagai *hipotesis*—kita akan mencoba membuktikannya +4. Ulangi proses secara rekursif untuk semua atribut di sisi kiri aturan, mencoba membuktikan mereka sebagai tujuan +5. Jika suatu saat proses gagal—gunakan aturan lain pada langkah 3. > ✅ Dalam situasi apa inferensi maju lebih tepat? Bagaimana dengan inferensi mundur? @@ -154,31 +154,31 @@ Proses ini dapat dimodelkan menggunakan **inferensi mundur**. Proses ini didoron Sistem pakar dapat diimplementasikan menggunakan berbagai alat: -* Memprogramnya langsung dalam bahasa pemrograman tingkat tinggi. Ini bukan ide terbaik, karena keuntungan utama dari sistem berbasis pengetahuan adalah bahwa pengetahuan dipisahkan dari inferensi, dan pakar domain masalah seharusnya dapat menulis aturan tanpa memahami detail proses inferensi. -* Menggunakan **kerangka sistem pakar**, yaitu sistem yang dirancang khusus untuk diisi dengan pengetahuan menggunakan bahasa representasi pengetahuan tertentu. +* Memprogramnya langsung dalam bahasa pemrograman tingkat tinggi. Ini bukan ide terbaik, karena keunggulan utama sistem berbasis pengetahuan adalah bahwa pengetahuan dipisahkan dari inferensi, dan seharusnya seorang ahli domain masalah berpotensi dapat menulis aturan tanpa memahami detail proses inferensi +* Menggunakan **kerangka sistem pakar**, yakni sistem yang dirancang khusus untuk diisi dengan pengetahuan menggunakan beberapa bahasa representasi pengetahuan. ## ✍️ Latihan: Inferensi Hewan Lihat [Animals.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) untuk contoh implementasi sistem pakar inferensi maju dan mundur. -> **Catatan**: Contoh ini cukup sederhana, dan hanya memberikan gambaran tentang bagaimana sistem pakar terlihat. Setelah Anda mulai membuat sistem seperti itu, Anda hanya akan melihat beberapa perilaku *cerdas* dari sistem tersebut setelah mencapai jumlah aturan tertentu, sekitar 200+. Pada titik tertentu, aturan menjadi terlalu kompleks untuk diingat semuanya, dan pada titik ini Anda mungkin mulai bertanya-tanya mengapa sistem membuat keputusan tertentu. Namun, karakteristik penting dari sistem berbasis pengetahuan adalah bahwa Anda selalu dapat *menjelaskan* dengan tepat bagaimana keputusan apa pun dibuat. +> **Catatan**: Contoh ini cukup sederhana, dan hanya memberikan gambaran bagaimana sistem pakar terlihat. Setelah Anda mulai membuat sistem seperti ini, Anda hanya akan menyadari perilaku *cerdas* dari sistem tersebut setelah Anda mencapai sejumlah aturan tertentu, sekitar 200+. Pada titik tertentu, aturan menjadi terlalu rumit untuk diingat semuanya, dan pada saat itu Anda mungkin mulai bertanya-tanya mengapa sistem mengambil keputusan tertentu. Namun, karakteristik penting dari sistem berbasis pengetahuan adalah Anda selalu dapat *menjelaskan* secara tepat bagaimana keputusan apapun dibuat. -## Ontologi dan Web Semantik +## Ontologi dan Semantic Web -Pada akhir abad ke-20, ada inisiatif untuk menggunakan representasi pengetahuan untuk memberi anotasi pada sumber daya Internet, sehingga memungkinkan untuk menemukan sumber daya yang sesuai dengan kueri yang sangat spesifik. Gerakan ini disebut **Web Semantik**, dan bergantung pada beberapa konsep: +Pada akhir abad ke-20 terdapat inisiatif untuk menggunakan representasi pengetahuan guna memberi anotasi pada sumber daya Internet, sehingga memungkinkan untuk menemukan sumber daya yang sesuai dengan kueri yang sangat spesifik. Gerakan ini disebut **Semantic Web**, dan bergantung pada beberapa konsep: -- Representasi pengetahuan khusus berdasarkan **[logika deskriptif](https://en.wikipedia.org/wiki/Description_logic)** (DL). Representasi ini mirip dengan representasi pengetahuan bingkai, karena membangun hierarki objek dengan properti, tetapi memiliki semantik logis formal dan inferensi. Ada seluruh keluarga DL yang menyeimbangkan antara ekspresivitas dan kompleksitas algoritmik inferensi. -- Representasi pengetahuan terdistribusi, di mana semua konsep direpresentasikan oleh pengidentifikasi URI global, memungkinkan pembuatan hierarki pengetahuan yang mencakup internet. -- Sebuah keluarga bahasa berbasis XML untuk deskripsi pengetahuan: RDF (Resource Description Framework), RDFS (RDF Schema), OWL (Ontology Web Language). +- Representasi pengetahuan khusus yang didasarkan pada **[logika deskriptif](https://en.wikipedia.org/wiki/Description_logic)** (DL). Ini mirip dengan representasi pengetahuan bingkai, karena membangun hierarki objek dengan properti, tetapi memiliki semantik logis formal dan inferensi. Ada keluarga DL yang menyeimbangkan antara ekspresivitas dan kompleksitas algoritmik inferensi. +- Representasi pengetahuan terdistribusi, di mana semua konsep direpresentasikan oleh pengenal URI global, memungkinkan pembuatan hierarki pengetahuan yang melintas internet. +- Keluarga bahasa berbasis XML untuk deskripsi pengetahuan: RDF (Resource Description Framework), RDFS (RDF Schema), OWL (Ontology Web Language). -Konsep inti dalam Semantic Web adalah konsep **Ontologi**. Ini merujuk pada spesifikasi eksplisit dari domain masalah menggunakan representasi pengetahuan formal. Ontologi paling sederhana bisa berupa hierarki objek dalam domain masalah, tetapi ontologi yang lebih kompleks akan mencakup aturan yang dapat digunakan untuk penalaran. +Konsep inti dalam Semantic Web adalah konsep **Ontologi**. Ini merujuk pada spesifikasi eksplisit dari domain masalah menggunakan beberapa representasi pengetahuan formal. Ontologi yang paling sederhana bisa hanya berupa hierarki objek dalam domain masalah, tetapi ontologi yang lebih kompleks akan mencakup aturan yang dapat digunakan untuk inferensi. -Dalam Semantic Web, semua representasi didasarkan pada triplet. Setiap objek dan setiap hubungan diidentifikasi secara unik oleh URI. Sebagai contoh, jika kita ingin menyatakan fakta bahwa Kurikulum AI ini dikembangkan oleh Dmitry Soshnikov pada 1 Januari 2022 - berikut adalah triplet yang dapat kita gunakan: +Dalam semantic web, semua representasi didasarkan pada triplet. Setiap objek dan setiap relasi diidentifikasi secara unik oleh URI. Misalnya, jika kita ingin menyatakan fakta bahwa Kurikulum AI ini telah dikembangkan oleh Dmitry Soshnikov pada 1 Januari 2022 - berikut adalah triplet yang bisa kita gunakan: - + ``` -http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 13, 2007” +http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 1, 2022” http://github.com/microsoft/ai-for-beginners http://purl.org/dc/elements/1.1/creator http://soshnikov.com ``` @@ -186,13 +186,13 @@ http://github.com/microsoft/ai-for-beginners http://purl.org/dc/elements/1.1/cre Dalam kasus yang lebih kompleks, jika kita ingin mendefinisikan daftar pencipta, kita dapat menggunakan beberapa struktur data yang didefinisikan dalam RDF. - + > Diagram di atas oleh [Dmitry Soshnikov](http://soshnikov.com) -Kemajuan dalam membangun Semantic Web agak terhambat oleh kesuksesan mesin pencari dan teknik pemrosesan bahasa alami, yang memungkinkan ekstraksi data terstruktur dari teks. Namun, dalam beberapa bidang masih ada upaya signifikan untuk mempertahankan ontologi dan basis pengetahuan. Beberapa proyek yang patut dicatat: +Kemajuan pembangunan Semantic Web agak melambat karena keberhasilan mesin pencari dan teknik pemrosesan bahasa alami, yang memungkinkan ekstraksi data terstruktur dari teks. Namun, di beberapa bidang masih ada upaya signifikan untuk memelihara ontologi dan basis pengetahuan. Beberapa proyek yang patut dicatat: -* [WikiData](https://wikidata.org/) adalah kumpulan basis pengetahuan yang dapat dibaca mesin yang terkait dengan Wikipedia. Sebagian besar data ditambang dari *InfoBoxes* Wikipedia, potongan konten terstruktur di dalam halaman Wikipedia. Anda dapat [melakukan query](https://query.wikidata.org/) pada WikiData menggunakan SPARQL, bahasa query khusus untuk Semantic Web. Berikut adalah contoh query yang menampilkan warna mata paling populer di antara manusia: +* [WikiData](https://wikidata.org/) adalah kumpulan basis pengetahuan yang dapat dibaca mesin yang terkait dengan Wikipedia. Sebagian besar data ditambang dari *InfoBoxes* Wikipedia, potongan konten terstruktur di dalam halaman Wikipedia. Anda dapat [menjalankan kueri](https://query.wikidata.org/) wikidata dalam SPARQL, bahasa kueri khusus untuk Semantic Web. Berikut contoh kueri yang menampilkan warna mata paling populer di antara manusia: ```sparql #defaultView:BubbleChart @@ -210,43 +210,48 @@ GROUP BY ?eyeColorLabel > ✅ Jika Anda ingin bereksperimen dengan membangun ontologi Anda sendiri, atau membuka ontologi yang sudah ada, ada editor ontologi visual yang hebat bernama [Protégé](https://protege.stanford.edu/). Unduh, atau gunakan secara online. - + -*Editor Web Protégé terbuka dengan ontologi Keluarga Romanov. Screenshot oleh Dmitry Soshnikov* +*Editor Web Protégé terbuka dengan ontologi Keluarga Romanov. Tangkapan layar oleh Dmitry Soshnikov* ## ✍️ Latihan: Ontologi Keluarga -Lihat [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) untuk contoh penggunaan teknik Semantic Web untuk menalar hubungan keluarga. Kita akan mengambil pohon keluarga yang direpresentasikan dalam format GEDCOM umum dan ontologi hubungan keluarga, lalu membangun grafik semua hubungan keluarga untuk kumpulan individu tertentu. + +Lihat [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) untuk contoh penggunaan teknik Semantic Web untuk menalar hubungan keluarga. Kita akan mengambil pohon keluarga yang direpresentasikan dalam format GEDCOM umum dan ontologi hubungan keluarga dan membangun grafik semua hubungan keluarga untuk sekumpulan individu tertentu. ## Microsoft Concept Graph -Dalam banyak kasus, ontologi dibuat dengan hati-hati secara manual. Namun, juga memungkinkan untuk **menambang** ontologi dari data tidak terstruktur, misalnya dari teks bahasa alami. +Dalam kebanyakan kasus, ontologi dibuat dengan hati-hati secara manual. Namun, juga memungkinkan untuk **menggali** ontologi dari data tidak terstruktur, misalnya dari teks bahasa alami. -Salah satu upaya tersebut dilakukan oleh Microsoft Research, yang menghasilkan [Microsoft Concept Graph](https://blogs.microsoft.com/ai/microsoft-researchers-release-graph-that-helps-machines-conceptualize/?WT.mc_id=academic-77998-cacaste). +Salah satu upaya itu dilakukan oleh Microsoft Research, dan menghasilkan [Microsoft Concept Graph](https://blogs.microsoft.com/ai/microsoft-researchers-release-graph-that-helps-machines-conceptualize/?WT.mc_id=academic-77998-cacaste). -Ini adalah kumpulan besar entitas yang dikelompokkan menggunakan hubungan pewarisan `is-a`. Ini memungkinkan menjawab pertanyaan seperti "Apa itu Microsoft?" - jawabannya adalah sesuatu seperti "sebuah perusahaan dengan probabilitas 0,87, dan sebuah merek dengan probabilitas 0,75". +Ini adalah kumpulan besar entitas yang dikelompokkan bersama menggunakan hubungan pewarisan `is-a`. Ini memungkinkan menjawab pertanyaan seperti "Apa itu Microsoft?" - jawaban berupa sesuatu seperti "sebuah perusahaan dengan probabilitas 0.87, dan sebuah merek dengan probabilitas 0.75". -Graph ini tersedia baik sebagai REST API, maupun sebagai file teks besar yang dapat diunduh yang mencantumkan semua pasangan entitas. +Grafik tersedia baik sebagai REST API, atau sebagai file teks besar yang dapat diunduh yang mencantumkan semua pasangan entitas. -## ✍️ Latihan: Concept Graph +## ✍️ Latihan: Grafik Konsep Coba notebook [MSConceptGraph.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb) untuk melihat bagaimana kita dapat menggunakan Microsoft Concept Graph untuk mengelompokkan artikel berita ke dalam beberapa kategori. ## Kesimpulan -Saat ini, AI sering dianggap sebagai sinonim untuk *Machine Learning* atau *Neural Networks*. Namun, manusia juga menunjukkan kemampuan penalaran eksplisit, yang saat ini belum ditangani oleh neural networks. Dalam proyek dunia nyata, penalaran eksplisit masih digunakan untuk melakukan tugas yang membutuhkan penjelasan, atau kemampuan untuk mengubah perilaku sistem dengan cara yang terkontrol. +Saat ini, AI sering dianggap sebagai sinonim dari *Machine Learning* atau *Neural Networks*. Namun, manusia juga menunjukkan penalaran eksplisit, yang saat ini tidak dapat ditangani oleh jaringan saraf. Dalam proyek dunia nyata, penalaran eksplisit masih digunakan untuk melakukan tugas yang memerlukan penjelasan, atau mampu memodifikasi perilaku sistem secara terkontrol. ## 🚀 Tantangan -Dalam notebook Ontologi Keluarga yang terkait dengan pelajaran ini, ada kesempatan untuk bereksperimen dengan hubungan keluarga lainnya. Cobalah untuk menemukan koneksi baru antara orang-orang dalam pohon keluarga. +Dalam notebook Ontologi Keluarga yang terkait dengan pelajaran ini, ada kesempatan untuk bereksperimen dengan hubungan keluarga lain. Cobalah untuk menemukan koneksi baru antara orang-orang dalam pohon keluarga. -## [Kuis setelah pelajaran](https://ff-quizzes.netlify.app/en/ai/quiz/4) +## [Kuis pasca kuliah](https://ff-quizzes.netlify.app/en/ai/quiz/4) -## Tinjauan & Studi Mandiri +## Ulasan & Studi Mandiri -Lakukan penelitian di internet untuk menemukan area di mana manusia telah mencoba mengukur dan mengkodekan pengetahuan. Lihatlah Taksonomi Bloom, dan kembali ke sejarah untuk mempelajari bagaimana manusia mencoba memahami dunia mereka. Jelajahi karya Linnaeus dalam menciptakan taksonomi organisme, dan amati cara Dmitri Mendeleev menciptakan cara untuk mendeskripsikan dan mengelompokkan elemen kimia. Apa contoh menarik lainnya yang dapat Anda temukan? +Lakukan penelitian di internet untuk menemukan bidang di mana manusia telah berusaha mengkuantifikasi dan mengkodekan pengetahuan. Lihatlah Taksonomi Bloom, dan kembali ke sejarah untuk mempelajari bagaimana manusia mencoba memahami dunia mereka. Jelajahi karya Linnaeus untuk membuat taksonomi organisme, dan amati cara Dmitri Mendeleev menciptakan cara untuk mendeskripsikan dan mengelompokkan unsur kimia. Contoh menarik apa lagi yang bisa Anda temukan? -**Tugas**: [Bangun Ontologi](assignment.md) +**Tugas**: [Membangun Ontologi](assignment.md) --- + +**Penafian**: +Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk akurasi, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang timbul dari penggunaan terjemahan ini. + \ No newline at end of file diff --git a/translations/vi/README.md b/translations/vi/README.md index 36a9cee7..0bac4dbd 100644 --- a/translations/vi/README.md +++ b/translations/vi/README.md @@ -1,228 +1,227 @@ -[![Giấy phép GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Người đóng góp GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Sự cố GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Yêu cầu kéo GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![Chào mừng PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Người theo dõi GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forks GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Sao GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Trí Tuệ Nhân Tạo Cho Người Mới Bắt Đầu - Một Chương Trình Học +# Trí Tuệ Nhân Tạo cho Người Mới Bắt Đầu - Chương Trình Học -|![Sketchnote bởi @girlie_mac https://twitter.com/girlie_mac](../../translated_images/vi/ai-overview.0857791951d19500.webp)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../../../translated_images/vi/ai-overview.0857791951d19500.webp)| |:---:| -| Trí Tuệ Nhân Tạo Cho Người Mới Bắt Đầu - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ | -Khám phá thế giới của **Trí Tuệ Nhân Tạo** (AI) với chương trình học 12 tuần, 24 bài học của chúng tôi! Nó bao gồm các bài học thực hành, bài kiểm tra và phòng thí nghiệm. Chương trình học thân thiện với người mới bắt đầu và bao gồm các công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI +Khám phá thế giới **Trí Tuệ Nhân Tạo** (AI) với chương trình học dài 12 tuần, gồm 24 bài học! Bao gồm các bài học thực hành, câu đố và phòng thí nghiệm. Chương trình phù hợp cho người mới bắt đầu và bao quát công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI. +### 🌐 Hỗ trợ Đa Ngôn Ngữ -### 🌐 Hỗ trợ đa ngôn ngữ - -#### Được hỗ trợ qua GitHub Action (Tự động & Luôn cập nhật) +#### Hỗ trợ qua GitHub Action (Tự động & Luôn cập nhật) -[Tiếng Ả Rập](../ar/README.md) | [Tiếng Bengal](../bn/README.md) | [Tiếng Bulgaria](../bg/README.md) | [Tiếng Miến Điện (Myanmar)](../my/README.md) | [Tiếng Trung (Giản thể)](../zh/README.md) | [Tiếng Trung (Phồn thể, Hồng Kông)](../hk/README.md) | [Tiếng Trung (Phồn thể, Ma Cao)](../mo/README.md) | [Tiếng Trung (Phồn thể, Đài Loan)](../tw/README.md) | [Tiếng Croatia](../hr/README.md) | [Tiếng Séc](../cs/README.md) | [Tiếng Đan Mạch](../da/README.md) | [Tiếng Hà Lan](../nl/README.md) | [Tiếng Estonia](../et/README.md) | [Tiếng Phần Lan](../fi/README.md) | [Tiếng Pháp](../fr/README.md) | [Tiếng Đức](../de/README.md) | [Tiếng Hy Lạp](../el/README.md) | [Tiếng Hebrew](../he/README.md) | [Tiếng Hindi](../hi/README.md) | [Tiếng Hungary](../hu/README.md) | [Tiếng Indonesia](../id/README.md) | [Tiếng Ý](../it/README.md) | [Tiếng Nhật](../ja/README.md) | [Tiếng Kannada](../kn/README.md) | [Tiếng Hàn](../ko/README.md) | [Tiếng Lithuania](../lt/README.md) | [Tiếng Malay](../ms/README.md) | [Tiếng Malayalam](../ml/README.md) | [Tiếng Marathi](../mr/README.md) | [Tiếng Nepal](../ne/README.md) | [Tiếng Pidgin Nigeria](../pcm/README.md) | [Tiếng Na Uy](../no/README.md) | [Tiếng Ba Tư (Farsi)](../fa/README.md) | [Tiếng Ba Lan](../pl/README.md) | [Tiếng Bồ Đào Nha (Brazil)](../br/README.md) | [Tiếng Bồ Đào Nha (Bồ Đào Nha)](../pt/README.md) | [Tiếng Punjabi (Gurmukhi)](../pa/README.md) | [Tiếng Romania](../ro/README.md) | [Tiếng Nga](../ru/README.md) | [Tiếng Serbia (Chữ Cyrillic)](../sr/README.md) | [Tiếng Slovakia](../sk/README.md) | [Tiếng Slovenia](../sl/README.md) | [Tiếng Tây Ban Nha](../es/README.md) | [Tiếng Swahili](../sw/README.md) | [Tiếng Thụy Điển](../sv/README.md) | [Tiếng Tagalog (Philippines)](../tl/README.md) | [Tiếng Tamil](../ta/README.md) | [Tiếng Telugu](../te/README.md) | [Tiếng Thái](../th/README.md) | [Tiếng Thổ Nhĩ Kỳ](../tr/README.md) | [Tiếng Ukraina](../uk/README.md) | [Tiếng Urdu](../ur/README.md) | [Tiếng Việt](./README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](./README.md) -> **Ưu tiên sao chép về máy?** +> **Ưu tiên tải về máy?** -> Kho lưu trữ này bao gồm hơn 50 bản dịch ngôn ngữ làm tăng đáng kể dung lượng tải về. Để sao chép mà không có bản dịch, hãy sử dụng sparse checkout: +> Kho chứa này bao gồm hơn 50 bản dịch ngôn ngữ làm tăng đáng kể kích thước tải về. Để tải về mà không có các bản dịch, hãy dùng sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Điều này cung cấp cho bạn mọi thứ bạn cần để hoàn thành khóa học với tốc độ tải về nhanh hơn nhiều. +> Điều này cung cấp cho bạn mọi thứ cần thiết để hoàn thành khóa học với tốc độ tải về nhanh hơn nhiều. -**Nếu bạn muốn hỗ trợ thêm các ngôn ngữ dịch khác được liệt kê [tại đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Nếu bạn muốn có thêm các ngôn ngữ dịch được hỗ trợ, danh sách có tại [đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Tham gia Cộng đồng [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Những gì bạn sẽ học +## Bạn sẽ học được gì -**[Bản đồ tư duy Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Bản đồ tư duy của Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Trong chương trình học này, bạn sẽ học: +Trong chương trình này, bạn sẽ học: -* Các phương pháp khác nhau trong Trí Tuệ Nhân Tạo, bao gồm phương pháp biểu diễn ký hiệu "cổ điển" với **Biểu diễn Kiến thức** và lý luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Mạng Nơ-ron** và **Học Sâu**, là cốt lõi của AI hiện đại. Chúng tôi sẽ minh họa các khái niệm đằng sau những chủ đề quan trọng này bằng mã trong hai framework phổ biến nhất - [TensorFlow](http://Tensorflow.org) và [PyTorch](http://pytorch.org). -* **Kiến trúc Mạng Nơ-ron** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ đề cập các mô hình gần đây nhưng có thể hơi thiếu một chút về trạng thái nghệ thuật hiện đại. -* Các phương pháp AI ít phổ biến hơn, như **Thuật toán Di truyền** và **Hệ thống Đa Tác nhân**. +* Các phương pháp khác nhau về Trí Tuệ Nhân Tạo, bao gồm phương pháp "cổ điển" biểu tượng với **Biểu diễn Kiến thức** và suy luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Mạng Nơ-ron** và **Học sâu**, là cốt lõi của AI hiện đại. Chúng tôi sẽ minh họa các khái niệm trọng yếu này bằng mã trong hai framework phổ biến nhất - [TensorFlow](http://Tensorflow.org) và [PyTorch](http://pytorch.org). +* **Kiến trúc Nơ-ron** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ đề cập các mô hình gần đây nhưng có thể chưa hoàn toàn hiện đại nhất. +* Các phương pháp AI ít phổ biến hơn, chẳng hạn như **Thuật toán Di truyền** và **Hệ thống Đa tác nhân**. -Những gì chúng tôi sẽ không đề cập trong chương trình học này: +Những gì chúng tôi sẽ không đề cập trong chương trình này: -> [Tìm tất cả tài nguyên bổ sung cho khóa học này trong bộ sưu tập Microsoft Learn của chúng tôi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Tìm tất cả nguồn tài nguyên bổ sung cho khóa học này trong bộ sưu tập Microsoft Learn của chúng tôi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Các trường hợp kinh doanh sử dụng **AI trong Doanh nghiệp**. Hãy cân nhắc tham gia con đường học [Giới thiệu AI cho người dùng doanh nghiệp](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [Trường Kinh doanh AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), được phát triển hợp tác với [INSEAD](https://www.insead.edu/). -* **Học Máy Cổ điển**, được mô tả rõ trong [Chương trình Học Máy cho Người Mới Bắt Đầu](http://github.com/Microsoft/ML-for-Beginners) của chúng tôi. -* Các ứng dụng AI thực tế xây dựng bằng **[Dịch vụ Nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Cho điều này, chúng tôi khuyên bạn bắt đầu với các module Microsoft Learn cho [thị giác](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI tạo sinh với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các module khác. -* Các **Khung Công tác Đám mây** ML cụ thể, như [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), hoặc [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Hãy cân nhắc sử dụng các con đường học [Xây dựng và vận hành giải pháp máy học với Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) và [Xây dựng & Vận hành Giải pháp Máy học với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI Đàm thoại** và **Chat Bots**. Có con đường học riêng biệt [Tạo giải pháp AI đàm thoại](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), và bạn cũng có thể tham khảo [bài đăng blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết. -* **Toán học sâu** phía sau học sâu. Với điều này, chúng tôi đề xuất [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, cũng có sẵn trực tuyến tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Các trường hợp ứng dụng **AI trong Kinh doanh**. Bạn có thể tham khảo khóa học [Giới thiệu về AI cho người dùng kinh doanh](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [Trường Kinh doanh AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), phát triển hợp tác với [INSEAD](https://www.insead.edu/). +* **Máy học Cổ điển**, được mô tả rõ trong chương trình [Máy học cho Người Mới Bắt Đầu](http://github.com/Microsoft/ML-for-Beginners). +* Các ứng dụng AI thực tế xây dựng bằng **[Dịch vụ Nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Để bắt đầu, chúng tôi khuyên bạn học các module trên Microsoft Learn về [thị giác máy tính](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI Sinh tác với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các lĩnh vực khác. +* Các **Khung Máy học trên Đám mây** cụ thể, như [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), hoặc [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Bạn có thể tham khảo các khóa học [Xây dựng và vận hành các giải pháp máy học với Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) và [Xây dựng và vận hành các giải pháp máy học với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Trí tuệ trò chuyện** và **Chat Bots**. Có một lộ trình học riêng dành cho [Tạo giải pháp AI trò chuyện](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), bạn cũng có thể tham khảo [bài viết blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết. +* **Toán học chuyên sâu** phía sau học sâu. Để nắm vững, chúng tôi khuyên đọc cuốn [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, cũng có online tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Để làm quen nhẹ nhàng với các chủ đề _AI trên Đám mây_, bạn có thể cân nhắc tham gia con đường học [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Để có một giới thiệu nhẹ nhàng về các chủ đề _AI trên Đám mây_, bạn có thể học lộ trình [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Nội dung -| | Liên kết Bài học | PyTorch/Keras/TensorFlow | Phòng thí nghiệm | +| | Liên Kết Bài Học | PyTorch/Keras/TensorFlow | Phòng thí nghiệm | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Thiết lập Khóa học](./lessons/0-course-setup/setup.md) | [Thiết lập Môi trường Phát triển của bạn](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Giới thiệu về AI**](./lessons/1-Intro/README.md) | | | +| 0 | [Thiết lập Khóa Học](./lessons/0-course-setup/setup.md) | [Thiết lập Môi trường Phát triển của bạn](./lessons/0-course-setup/how-to-run.md) | | +| I | [**Giới Thiệu về AI**](./lessons/1-Intro/README.md) | | | | 01 | [Giới thiệu và Lịch sử AI](./lessons/1-Intro/README.md) | - | - | -| II | **AI Ký Hiệu** | -| 02 | [Biểu diễn Kiến thức và Hệ Thống Chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ Thống Chuyên gia](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị Khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| II | **AI Biểu Tượng** | +| 02 | [Biểu Diễn Kiến Thức và Hệ Thống Chuyên Gia](./lessons/2-Symbolic/README.md) | [Hệ Thống Chuyên Gia](./lessons/2-Symbolic/Animals.ipynb) / [Ôn tập Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị Khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Giới Thiệu về Mạng Nơ-ron**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Perceptron đa lớp và Tạo khung làm việc của riêng chúng ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Giới thiệu về các khung làm việc (PyTorch/TensorFlow) và hiện tượng quá khớp](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Thị Giác Máy Tính**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Khám Phá Thị Giác Máy Tính trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Giới thiệu về Thị Giác Máy Tính. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Mạng Nơ-ron Tích Chập](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Kiến Trúc CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Mạng đã được huấn luyện sẵn và Học truyền tải](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [Mẹo Huấn Luyện](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 04 | [Mạng Perceptron đa lớp và Tạo ra Framework riêng của chúng ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Giới thiệu về Frameworks (PyTorch/TensorFlow) và Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Thị giác máy tính**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Khám phá Thị giác máy tính trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Giới thiệu về Thị giác máy tính. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Mạng nơ-ron tích chập](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Kiến trúc CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Mạng đã được huấn luyện sẵn và Học chuyển đổi](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [Các Mẹo Huấn luyện](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders và VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Mạng Tạo Đối Kháng Sinh (GANs) và Chuyển Đổi Phong Cách Nghệ Thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Phát Hiện Đối Tượng](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [Phân Đoạn Ngữ Nghĩa. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Xử Lý Ngôn Ngữ Tự Nhiên**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Khám Phá Xử Lý Ngôn Ngữ Tự Nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Biểu Diễn Văn Bản. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Biểu Diễn Từ Ngữ Ngữ Nghĩa. Word2Vec và GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Mô Hình Ngôn Ngữ. Huấn luyện biểu diễn ngôn ngữ của bạn](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Mạng Nơ-ron Tái hiện](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Mạng Tái hiện Sinh tạo](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 10 | [Mạng đối kháng sinh tạo & Chuyển đổi phong cách nghệ thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Phát hiện vật thể](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [Phân đoạn ngữ nghĩa. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**Xử lý ngôn ngữ tự nhiên**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Khám phá Xử lý Ngôn ngữ Tự nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Biểu diễn văn bản. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Biểu diễn từ ngữ ngữ nghĩa. Word2Vec và GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Mô hình ngôn ngữ. Huấn luyện biểu diễn của riêng bạn](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Mạng nơ-ron hồi quy](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Mạng nơ-ron hồi quy sinh tạo](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Nhận diện Thực thể Được đặt tên](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Mô hình Ngôn ngữ Lớn, Lập trình Prompt và Các tác vụ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Các Kỹ Thuật AI Khác** || | -| 21 | [Thuật Toán Di Truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Học Tăng Cường Sâu](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Hệ thống Đa Tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Đạo Đức AI** | | | -| 24 | [Đạo Đức AI và AI Có Trách Nhiệm](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI Có Trách Nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Phần Bổ Sung** | | | -| 25 | [Mạng Đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 19 | [Nhận dạng thực thể có tên](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Mô hình ngôn ngữ lớn, Lập trình Prompt và Các tác vụ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Các kỹ thuật AI khác** || | +| 21 | [Thuật toán di truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Học tăng cường sâu](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Hệ thống đa tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Đạo đức AI** | | | +| 24 | [Đạo đức AI và AI có trách nhiệm](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI có trách nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Phần thêm** | | | +| 25 | [Mạng đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Mỗi bài học bao gồm * Tài liệu đọc trước -* Các Jupyter Notebook có thể chạy được, thường dành riêng cho khung làm việc (**PyTorch** hoặc **TensorFlow**). Các notebook này cũng chứa nhiều tài liệu lý thuyết, vì vậy để hiểu chủ đề bạn cần làm qua ít nhất một phiên bản notebook (hoặc PyTorch hoặc TensorFlow). -* **Phòng thí nghiệm** có sẵn cho một số chủ đề, giúp bạn có cơ hội áp dụng tài liệu đã học vào một vấn đề cụ thể. -* Một số phần có liên kết đến các mô-đun [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) liên quan. +* Các Jupyter Notebooks có thể chạy được, thường dành riêng cho framework (**PyTorch** hoặc **TensorFlow**). Notebook có thể chạy cũng chứa rất nhiều tài liệu lý thuyết, để hiểu chủ đề bạn cần đọc qua ít nhất một phiên bản của notebook (bằng PyTorch hoặc TensorFlow). +* **Phòng lab** cho một số chủ đề, giúp bạn có cơ hội thử áp dụng kiến thức đã học vào một bài toán cụ thể. +* Một số phần có liên kết đến các module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) bao gồm các chủ đề có liên quan. ## Bắt đầu -### 🎯 Mới với AI? Bắt đầu ở đây! +### 🎯 Mới học AI? Bắt đầu tại đây! -Nếu bạn hoàn toàn mới với AI và muốn có các ví dụ thực hành nhanh, hãy xem [**Ví dụ thân thiện cho người mới bắt đầu**](./examples/README.md)! Bao gồm: +Nếu bạn hoàn toàn mới về AI và muốn các ví dụ thực hành nhanh, hãy xem [**Ví dụ Dành cho Người mới bắt đầu**](./examples/README.md)! Bao gồm: -- 🌟 **Chào Thế Giới AI** - Chương trình AI đầu tiên của bạn (nhận dạng mẫu) -- 🧠 **Mạng Nơ-ron Đơn giản** - Xây dựng một mạng nơ-ron từ đầu -- 🖼️ **Phân loại Hình ảnh** - Phân loại hình ảnh với chú thích chi tiết -- 💬 **Cảm xúc văn bản** - Phân tích văn bản tích cực/tiêu cực +- 🌟 **Hello AI World** - Chương trình AI đầu tiên của bạn (nhận dạng mẫu) +- 🧠 **Mạng Nơ-ron đơn giản** - Xây dựng mạng nơ-ron từ đầu +- 🖼️ **Phân loại hình ảnh** - Phân loại hình ảnh với các chú thích chi tiết +- 💬 **Phân Tích Cảm Xúc Văn Bản** - Phân tích văn bản tích cực/tiêu cực -Những ví dụ này được thiết kế để giúp bạn hiểu các khái niệm AI trước khi đi sâu vào toàn bộ chương trình học. +Những ví dụ này được thiết kế để giúp bạn hiểu các khái niệm AI trước khi bắt đầu toàn bộ chương trình học. -### 📚 Thiết lập toàn bộ chương trình học +### 📚 Cài Đặt Chương Trình Học Toàn Bộ - Chúng tôi đã tạo một [bài học cài đặt](./lessons/0-course-setup/setup.md) để giúp bạn thiết lập môi trường phát triển. -- Dành cho các nhà giáo dục, chúng tôi cũng đã tạo một [bài học thiết lập chương trình học](./lessons/0-course-setup/for-teachers.md)! -- Cách [chạy mã trong VSCode hoặc Codepace](./lessons/0-course-setup/how-to-run.md) +- Dành cho giáo viên, chúng tôi cũng đã tạo một [bài học cài đặt chương trình học](./lessons/0-course-setup/for-teachers.md) cho bạn! +- Cách [Chạy mã trong VSCode hoặc Codespace](./lessons/0-course-setup/how-to-run.md) Hãy làm theo các bước sau: -Fork Repository: Nhấn nút "Fork" ở góc trên bên phải của trang này. +Fork kho lưu trữ: Nhấn nút "Fork" ở góc trên bên phải của trang này. -Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clone kho lưu trữ: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Đừng quên bấm sao (🌟) repo này để dễ tìm lại sau. +Đừng quên đánh dấu (🌟) repo này để dễ tìm lại sau. ## Gặp gỡ các học viên khác -Tham gia [máy chủ Discord AI chính thức của chúng tôi](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) để gặp gỡ và kết nối với những người học khác đang theo khóa học này và nhận được sự hỗ trợ. +Tham gia [máy chủ Discord AI chính thức](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) của chúng tôi để gặp gỡ và kết nối với những người học khác đang tham gia khóa học này và nhận hỗ trợ. -Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong quá trình xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum) +Nếu bạn có phản hồi sản phẩm hoặc câu hỏi trong quá trình xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum) -## Trắc nghiệm +## Bài Kiểm Tra -> **Một lưu ý về các bài kiểm tra:** Tất cả các bài kiểm tra đều nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/). Chúng được liên kết từ bên trong các bài học, ứng dụng quiz có thể chạy cục bộ hoặc triển khai lên Azure; hãy làm theo hướng dẫn trong thư mục `quiz-app`. Chúng đang được dần dần dịch địa phương hóa. +> **Lưu ý về bài kiểm tra**: Tất cả bài kiểm tra nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/) Chúng được liên kết trong các bài học và ứng dụng bài kiểm tra có thể chạy cục bộ hoặc triển khai lên Azure; làm theo hướng dẫn trong thư mục `quiz-app`. Chúng đang dần được bản địa hóa. -## Cần sự giúp đỡ +## Cần Giúp Đỡ -Bạn có đề xuất hoặc phát hiện lỗi chính tả hoặc mã? Hãy tạo issue hoặc gửi pull request. +Bạn có gợi ý hoặc phát hiện lỗi chính tả hay lỗi mã? Hãy tạo issue hoặc pull request. -## Tri ân đặc biệt +## Lời Cảm Ơn Đặc Biệt * **✍️ Tác giả chính:** [Dmitry Soshnikov](http://soshnikov.com), Tiến sĩ * **🔥 Biên tập viên:** [Jen Looper](https://twitter.com/jenlooper), Tiến sĩ * **🎨 Minh họa sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Người tạo bài kiểm tra:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Những đóng góp chính:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Cộng tác viên chủ chốt:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Các chương trình học khác +## Các Chương Trình Học Khác -Đội ngũ của chúng tôi còn phát triển các chương trình học khác! Hãy xem: +Nhóm của chúng tôi còn tạo ra các chương trình học khác! Hãy xem: ### LangChain -[![LangChain4j cho Người mới bắt đầu](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js cho Người mới bắt đầu](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j cho Người Mới](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js cho Người Mới](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents -[![AZD cho Người mới bắt đầu](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI cho Người mới bắt đầu](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP cho Người mới bắt đầu](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Đại lý AI cho Người mới bắt đầu](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD cho Người Mới](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI cho Người Mới](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP cho Người Mới](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents cho Người Mới](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Loạt bài AI Tạo sinh -[![AI Tạo sinh cho Người mới bắt đầu](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Tạo sinh (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![AI Tạo sinh (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![AI Tạo sinh (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### Chuỗi AI Sinh Tạo +[![Generative AI cho Người Mới](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### Học tập cốt lõi -[![ML cho Người mới bắt đầu](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Khoa học dữ liệu cho Người mới bắt đầu](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI cho Người mới bắt đầu](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![An ninh mạng cho Người mới bắt đầu](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Phát triển web cho Người mới bắt đầu](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT cho Người mới bắt đầu](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![Phát triển XR cho Người mới bắt đầu](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### Học Cơ Bản +[![ML cho Người Mới](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Khoa Học Dữ Liệu cho Người Mới](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI cho Người Mới](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![An ninh mạng cho Người Mới](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Phát Triển Web cho Người Mới](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT cho Người Mới](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![Phát Triển XR cho Người Mới](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Loạt bài Copilot -[![Copilot cho Lập trình song hành AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +### Chuỗi Copilot +[![Copilot cho Lập Trình AI Ghép Đôi](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot cho C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Cuộc phiêu lưu Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Cuộc Phiêu Lưu Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Nhận giúp đỡ +## Nhận Trợ Giúp -Nếu bạn bị kẹt hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI, hãy tham gia cùng các học viên và nhà phát triển có kinh nghiệm thảo luận về MCP. Đây là một cộng đồng hỗ trợ, nơi các câu hỏi được chào đón và kiến thức được chia sẻ tự do. +Nếu bạn gặp khó khăn hoặc có câu hỏi về phát triển ứng dụng AI, hãy tham gia cùng những người học và các nhà phát triển giàu kinh nghiệm trong các cuộc thảo luận về MCP. Đây là một cộng đồng hỗ trợ nhiệt tình, nơi mọi câu hỏi đều được hoan nghênh và kiến thức được chia sẻ tự do. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Nếu bạn có phản hồi về sản phẩm hoặc lỗi trong quá trình xây dựng, hãy truy cập: +Nếu bạn có phản hồi sản phẩm hoặc phát hiện lỗi trong quá trình xây dựng, hãy truy cập: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -230,5 +229,5 @@ Nếu bạn có phản hồi về sản phẩm hoặc lỗi trong quá trình x **Tuyên bố miễn trừ trách nhiệm**: -Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ gốc nên được coi là nguồn thông tin chính thức. Đối với những thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hay giải thích sai nào phát sinh từ việc sử dụng bản dịch này. +Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi nỗ lực đảm bảo độ chính xác, xin lưu ý rằng bản dịch tự động có thể chứa lỗi hoặc sai sót. Tài liệu gốc bằng ngôn ngữ gốc của nó nên được coi là nguồn tham khảo chính xác nhất. Đối với thông tin quan trọng, khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu nhầm hoặc giải thích sai nào phát sinh từ việc sử dụng bản dịch này. \ No newline at end of file diff --git a/translations/vi/lessons/0-course-setup/how-to-run.md b/translations/vi/lessons/0-course-setup/how-to-run.md index b01d5227..ad237d24 100644 --- a/translations/vi/lessons/0-course-setup/how-to-run.md +++ b/translations/vi/lessons/0-course-setup/how-to-run.md @@ -1,21 +1,21 @@ -# Cách Chạy Mã +# Cách Chạy Mã Lệnh -Chương trình học này chứa rất nhiều ví dụ và bài thực hành có thể chạy được mà bạn sẽ muốn thử nghiệm. Để làm điều này, bạn cần khả năng thực thi mã Python trong Jupyter Notebooks được cung cấp như một phần của chương trình học. Bạn có một số lựa chọn để chạy mã: +Chương trình học này chứa nhiều ví dụ và bài thực hành có thể chạy được mà bạn sẽ muốn thử. Để làm điều này, bạn cần khả năng thực thi mã Python trong Jupyter Notebooks được cung cấp như một phần của chương trình học này. Bạn có một số lựa chọn để chạy mã: ## Chạy trên máy tính cá nhân -Để chạy mã trên máy tính cá nhân, bạn cần cài đặt một phiên bản Python nào đó. Cá nhân tôi khuyên bạn nên cài đặt **[miniconda](https://conda.io/en/latest/miniconda.html)** - đây là một cài đặt nhẹ hỗ trợ trình quản lý gói `conda` cho các **môi trường ảo** Python khác nhau. +Để chạy mã trên máy tính cá nhân, bạn cần cài đặt Python. Một gợi ý là cài **[miniconda](https://conda.io/en/latest/miniconda.html)** - đây là một bản cài đặt nhẹ hỗ trợ trình quản lý gói `conda` cho các **môi trường ảo** Python khác nhau. -Sau khi cài đặt miniconda, bạn cần sao chép kho lưu trữ và tạo một môi trường ảo để sử dụng cho khóa học này: +Sau khi cài miniconda, bạn clone kho và tạo môi trường ảo để dùng cho khóa học này: ```bash git clone http://github.com/microsoft/ai-for-beginners @@ -24,19 +24,19 @@ conda env create --name ai4beg --file .devcontainer/environment.yml conda activate ai4beg ``` -### Sử dụng Visual Studio Code với Python Extension +### Sử dụng Visual Studio Code với Phần mở rộng Python -Có lẽ cách tốt nhất để sử dụng chương trình học là mở nó trong [Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) với [Python Extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). +Chương trình học này sẽ sử dụng hiệu quả nhất khi mở trong [Visual Studio Code](http://code.visualstudio.com/?WT.mc_id=academic-77998-cacaste) với [Phần mở rộng Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-77998-cacaste). -> **Lưu ý**: Khi bạn sao chép và mở thư mục trong VS Code, nó sẽ tự động gợi ý bạn cài đặt các tiện ích mở rộng Python. Bạn cũng cần cài đặt miniconda như đã mô tả ở trên. +> **Lưu ý**: Khi bạn clone và mở thư mục trong VS Code, nó sẽ tự động gợi ý bạn cài đặt phần mở rộng Python. Bạn cũng cần phải cài miniconda như mô tả ở trên. -> **Lưu ý**: Nếu VS Code gợi ý bạn mở lại kho lưu trữ trong container, bạn cần từ chối để sử dụng cài đặt Python cục bộ. +> **Lưu ý**: Nếu VS Code gợi ý bạn mở lại kho trong container, bạn nên từ chối để sử dụng cài đặt Python cục bộ. -### Sử dụng Jupyter trong Trình duyệt +### Sử dụng Jupyter trên trình duyệt -Bạn cũng có thể sử dụng môi trường Jupyter trực tiếp từ trình duyệt trên máy tính của mình. Thực tế, cả Jupyter cổ điển và Jupyter Hub đều cung cấp môi trường phát triển khá tiện lợi với tính năng tự động hoàn thành, tô sáng mã, v.v. +Bạn cũng có thể sử dụng môi trường Jupyter từ trình duyệt trên máy cá nhân. Cả Jupyter truyền thống và JupyterHub đều cung cấp môi trường phát triển tiện lợi với tự động hoàn thành, tô sáng mã, v.v. -Để khởi động Jupyter cục bộ, hãy vào thư mục của khóa học và thực thi: +Để khởi động Jupyter trên máy, hãy chuyển đến thư mục của khóa học, và chạy: ```bash jupyter notebook @@ -45,34 +45,36 @@ hoặc ```bash jupyterhub ``` -Sau đó, bạn có thể điều hướng đến bất kỳ tệp `.ipynb` nào, mở chúng và bắt đầu làm việc. +Bạn sau đó có thể mở bất kỳ tập tin `.ipynb` nào để bắt đầu làm việc. ### Chạy trong container -Một lựa chọn thay thế cho việc cài đặt Python là chạy mã trong container. Vì kho lưu trữ của chúng tôi chứa thư mục `.devcontainer` đặc biệt hướng dẫn cách xây dựng container cho kho này, VS Code sẽ đề xuất bạn mở lại mã trong container. Điều này sẽ yêu cầu cài đặt Docker và cũng phức tạp hơn, vì vậy chúng tôi khuyến nghị điều này cho những người dùng có kinh nghiệm hơn. +Một lựa chọn thay thế cho việc cài đặt Python là chạy mã trong container. Vì kho của chúng tôi cung cấp thư mục `.devcontainer` đặc biệt hướng dẫn cách xây dựng container cho kho này, VS Code sẽ cung cấp tùy chọn mở lại mã trong container. Điều này yêu cầu cài Docker, và cũng phức tạp hơn, nên chúng tôi khuyến nghị cho người dùng có kinh nghiệm hơn. -## Chạy trên Đám mây +## Chạy trên điện toán đám mây -Nếu bạn không muốn cài đặt Python cục bộ và có quyền truy cập vào một số tài nguyên đám mây - một lựa chọn tốt là chạy mã trên đám mây. Có một số cách bạn có thể làm điều này: +Nếu bạn không muốn cài Python trên máy và có quyền truy cập một số tài nguyên đám mây - lựa chọn tốt là chạy mã trên đám mây. Có một số cách bạn có thể làm điều này: -* Sử dụng **[GitHub Codespaces](https://github.com/features/codespaces)**, đây là một môi trường ảo được tạo cho bạn trên GitHub, có thể truy cập thông qua giao diện trình duyệt của VS Code. Nếu bạn có quyền truy cập vào Codespaces, bạn chỉ cần nhấp vào nút **Code** trong kho, bắt đầu một codespace và chạy ngay lập tức. -* Sử dụng **[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) là tài nguyên tính toán miễn phí được cung cấp trên đám mây cho những người như bạn để thử nghiệm một số mã trên GitHub. Có một nút ở trang đầu để mở kho lưu trữ trong Binder - điều này sẽ nhanh chóng đưa bạn đến trang Binder, nơi sẽ xây dựng container cơ bản và khởi động giao diện web Jupyter cho bạn một cách liền mạch. +* Sử dụng **[GitHub Codespaces](https://github.com/features/codespaces)**, một môi trường ảo được tạo trên GitHub cho bạn, truy cập qua giao diện trình duyệt VS Code. Nếu bạn có quyền truy cập Codespaces, bạn chỉ cần bấm nút **Code** trong repo, khởi tạo một codespace và bắt đầu ngay lập tức. +* Sử dụng **[Binder](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD)**. [Binder](https://mybinder.org) cung cấp tài nguyên tính toán miễn phí trên đám mây cho người dùng như bạn để thử mã trên GitHub. Có một nút ở trang đầu để mở kho trong Binder - điều này sẽ nhanh chóng đưa bạn đến trang Binder, nơi xây dựng một container bên dưới và khởi động giao diện web Jupyter cho bạn một cách liền mạch. -> **Lưu ý**: Để ngăn chặn việc sử dụng sai mục đích, Binder đã chặn quyền truy cập vào một số tài nguyên web. Điều này có thể ngăn một số mã hoạt động, đặc biệt là mã tải mô hình và/hoặc tập dữ liệu từ Internet công cộng. Bạn có thể cần tìm một số giải pháp thay thế. Ngoài ra, tài nguyên tính toán được cung cấp bởi Binder khá cơ bản, vì vậy việc huấn luyện sẽ chậm, đặc biệt trong các bài học phức tạp hơn sau này. +> **Lưu ý**: Để ngăn ngừa sử dụng sai mục đích, Binder chặn truy cập một số tài nguyên web. Điều này có thể làm một số mã không hoạt động vì phải lấy mô hình và/hoặc bộ dữ liệu từ Internet công cộng. Bạn có thể cần tìm cách giải quyết. Ngoài ra, tài nguyên tính toán do Binder cung cấp khá cơ bản, nên việc huấn luyện sẽ chậm, đặc biệt trong các bài học phức tạp hơn sau này. -## Chạy trên Đám mây với GPU +## Chạy trên đám mây với GPU -Một số bài học sau trong chương trình học này sẽ được hưởng lợi rất nhiều từ việc hỗ trợ GPU, vì nếu không, việc huấn luyện sẽ rất chậm. Có một vài lựa chọn bạn có thể thực hiện, đặc biệt nếu bạn có quyền truy cập vào đám mây thông qua [Azure for Students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-77998-cacaste) hoặc thông qua tổ chức của bạn: +Một số bài học sau trong chương trình sẽ rất cần GPU. Việc huấn luyện mô hình, ví dụ, có thể rất chậm nếu không có GPU. Có vài tùy chọn bạn có thể theo, nhất là nếu bạn có quyền truy cập đám mây thông qua [Azure for Students](https://azure.microsoft.com/free/students/?WT.mc_id=academic-77998-cacaste), hoặc qua tổ chức của bạn: -* Tạo [Máy Ảo Khoa Học Dữ Liệu](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) và kết nối với nó thông qua Jupyter. Sau đó, bạn có thể sao chép kho lưu trữ trực tiếp vào máy và bắt đầu học. Các máy ảo dòng NC có hỗ trợ GPU. +* Tạo [Máy ảo Khoa học Dữ liệu](https://docs.microsoft.com/learn/modules/intro-to-azure-data-science-virtual-machine/?WT.mc_id=academic-77998-cacaste) và kết nối đến nó qua Jupyter. Bạn có thể clone repo ngay lên máy và bắt đầu học. Máy ảo dòng NC có hỗ trợ GPU. -> **Lưu ý**: Một số gói đăng ký, bao gồm Azure for Students, không cung cấp hỗ trợ GPU ngay lập tức. Bạn có thể cần yêu cầu thêm lõi GPU thông qua yêu cầu hỗ trợ kỹ thuật. +> **Lưu ý**: Một số gói đăng ký, bao gồm Azure for Students, không cung cấp GPU mặc định. Bạn có thể cần gửi yêu cầu hỗ trợ kỹ thuật để nhận thêm lõi GPU. -* Tạo [Azure Machine Learning Workspace](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) và sau đó sử dụng tính năng Notebook ở đó. [Video này](https://azure-for-academics.github.io/quickstart/azureml-papers/) hướng dẫn cách sao chép một kho lưu trữ vào notebook Azure ML và bắt đầu sử dụng. +* Tạo [Azure Machine Learning Workspace](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-cacaste) và sử dụng tính năng Notebook ở đó. [Video này](https://azure-for-academics.github.io/quickstart/azureml-papers/) hướng dẫn cách clone repo vào notebook Azure ML và bắt đầu sử dụng. -Bạn cũng có thể sử dụng Google Colab, nơi cung cấp một số hỗ trợ GPU miễn phí, và tải lên các Jupyter Notebooks để thực thi từng cái một. +Bạn cũng có thể sử dụng Google Colab, có hỗ trợ GPU miễn phí, và tải các Jupyter Notebooks lên đó để thực thi từng notebook một. --- -**Tuyên bố miễn trừ trách nhiệm**: -Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn tham khảo chính thức. Đối với các thông tin quan trọng, chúng tôi khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp từ con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này. \ No newline at end of file + +**Tuyên bố từ chối trách nhiệm**: +Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ gốc nên được xem là nguồn tham khảo chính thức. Đối với những thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp do con người thực hiện. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hay giải thích sai nào phát sinh từ việc sử dụng bản dịch này. + \ No newline at end of file diff --git a/translations/vi/lessons/2-Symbolic/Animals.ipynb b/translations/vi/lessons/2-Symbolic/Animals.ipynb index 1d8097bb..278e7d5d 100644 --- a/translations/vi/lessons/2-Symbolic/Animals.ipynb +++ b/translations/vi/lessons/2-Symbolic/Animals.ipynb @@ -6,25 +6,25 @@ "collapsed": true }, "source": [ - "# Triển khai Hệ thống Chuyên gia về Động vật\n", + "# Triển khai Hệ Thống Chuyên Gia Động Vật\n", "\n", - "Một ví dụ từ [AI for Beginners Curriculum](http://github.com/microsoft/ai-for-beginners).\n", + "Một ví dụ từ [Chương trình Học AI cho Người Mới Bắt Đầu](http://github.com/microsoft/ai-for-beginners).\n", "\n", - "Trong ví dụ này, chúng ta sẽ triển khai một hệ thống dựa trên kiến thức đơn giản để xác định một loài động vật dựa trên một số đặc điểm vật lý. Hệ thống có thể được biểu diễn bằng cây AND-OR sau đây (đây chỉ là một phần của toàn bộ cây, chúng ta có thể dễ dàng thêm một số quy tắc khác):\n", + "Trong ví dụ này, chúng ta sẽ triển khai một hệ thống dựa trên kiến thức đơn giản để xác định một con vật dựa trên một số đặc điểm vật lý. Hệ thống có thể được biểu diễn bằng cây AND-OR sau (đây là một phần của toàn bộ cây, chúng ta có thể dễ dàng thêm một số quy tắc khác):\n", "\n", - "![](../../../../translated_images/vi/AND-OR-Tree.5592d2c70187f283.webp)\n" + "![](../../../../../../translated_images/vi/AND-OR-Tree.5592d2c70187f283.webp)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Hệ thống chuyên gia của chúng ta với suy luận ngược\n", + "## Vỏ hệ chuyên gia tự tạo của chúng ta với suy luận ngược\n", "\n", - "Hãy thử định nghĩa một ngôn ngữ đơn giản để biểu diễn tri thức dựa trên các quy tắc sản xuất. Chúng ta sẽ sử dụng các lớp Python làm từ khóa để định nghĩa các quy tắc. Sẽ có 3 loại lớp chính:\n", + "Hãy thử định nghĩa một ngôn ngữ đơn giản cho biểu diễn tri thức dựa trên các quy tắc sản xuất. Chúng ta sẽ sử dụng các lớp Python làm từ khóa để định nghĩa quy tắc. Về cơ bản sẽ có 3 loại lớp:\n", "* `Ask` đại diện cho một câu hỏi cần được hỏi người dùng. Nó chứa tập hợp các câu trả lời có thể.\n", - "* `If` đại diện cho một quy tắc, và nó chỉ là một cách viết ngắn gọn để lưu trữ nội dung của quy tắc.\n", - "* `AND`/`OR` là các lớp để biểu diễn các nhánh AND/OR của cây. Chúng chỉ lưu trữ danh sách các đối số bên trong. Để đơn giản hóa mã, tất cả chức năng được định nghĩa trong lớp cha `Content`.\n" + "* `If` đại diện cho một quy tắc, và nó chỉ là một cách viết ngắn gọn để lưu trữ nội dung của quy tắc\n", + "* `AND`/`OR` là các lớp dùng để biểu diễn các nhánh AND/OR của cây. Chúng chỉ lưu trữ danh sách các đối số bên trong. Để đơn giản hóa mã, tất cả chức năng được định nghĩa trong lớp cha `Content`\n" ] }, { @@ -66,7 +66,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Trong hệ thống của chúng tôi, bộ nhớ làm việc sẽ chứa danh sách các **sự kiện** dưới dạng **cặp thuộc tính-giá trị**. Cơ sở tri thức có thể được định nghĩa như một từ điển lớn, ánh xạ các hành động (các sự kiện mới cần được chèn vào bộ nhớ làm việc) với các điều kiện, được biểu diễn dưới dạng biểu thức AND-OR. Ngoài ra, một số sự kiện có thể được `Hỏi`.\n" + "Trong hệ thống của chúng tôi, bộ nhớ làm việc sẽ chứa danh sách các **sự thật** dưới dạng **cặp thuộc tính-giá trị**. Cơ sở tri thức có thể được định nghĩa như một từ điển lớn ánh xạ các hành động (các sự thật mới cần được chèn vào bộ nhớ làm việc) sang các điều kiện, được biểu diễn dưới dạng biểu thức AND-OR. Ngoài ra, một số sự thật có thể được `Ask`.\n" ] }, { @@ -99,12 +99,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Để thực hiện suy luận ngược, chúng ta sẽ định nghĩa lớp `Knowledgebase`. Lớp này sẽ bao gồm:\n", - "* `memory` hoạt động - một từ điển ánh xạ các thuộc tính với giá trị của chúng\n", - "* Các `rules` của Knowledgebase theo định dạng đã được định nghĩa ở trên\n", + "Để thực hiện suy luận ngược, chúng ta sẽ định nghĩa lớp `Knowledgebase`. Nó sẽ chứa:\n", + "* `memory` làm việc - một từ điển ánh xạ các thuộc tính đến giá trị\n", + "* `rules` của Knowledgebase theo định dạng đã định nghĩa ở trên\n", "\n", "Hai phương thức chính là:\n", - "* `get` để lấy giá trị của một thuộc tính, thực hiện suy luận nếu cần thiết. Ví dụ, `get('color')` sẽ lấy giá trị của ô màu (nó sẽ hỏi nếu cần, và lưu giá trị để sử dụng sau trong bộ nhớ hoạt động). Nếu chúng ta hỏi `get('color:blue')`, nó sẽ hỏi về màu sắc, và sau đó trả về giá trị `y`/`n` tùy thuộc vào màu sắc.\n", + "* `get` để lấy giá trị của một thuộc tính, thực hiện suy luận nếu cần thiết. Ví dụ, `get('color')` sẽ lấy giá trị của ô màu (nó sẽ hỏi nếu cần, và lưu giá trị để sử dụng sau này trong bộ nhớ làm việc). Nếu ta hỏi `get('color:blue')`, nó sẽ hỏi về màu, rồi trả về giá trị `y`/`n` tùy thuộc vào màu đó.\n", "* `eval` thực hiện suy luận thực tế, tức là duyệt cây AND/OR, đánh giá các mục tiêu con, v.v.\n" ] }, @@ -172,7 +172,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Bây giờ hãy định nghĩa cơ sở kiến thức về động vật của chúng ta và thực hiện tư vấn. Lưu ý rằng lời gọi này sẽ đặt câu hỏi cho bạn. Bạn có thể trả lời bằng cách gõ `y`/`n` cho các câu hỏi có/không, hoặc bằng cách chỉ định số (0..N) cho các câu hỏi có nhiều lựa chọn dài hơn.\n" + "Bây giờ chúng ta hãy định nghĩa cơ sở kiến thức về động vật và thực hiện tư vấn. Lưu ý rằng cuộc gọi này sẽ hỏi bạn các câu hỏi. Bạn có thể trả lời bằng cách gõ `y`/`n` cho các câu hỏi có câu trả lời có/không, hoặc bằng cách chỉ định số (0..N) cho các câu hỏi có nhiều lựa chọn dài hơn.\n" ] }, { @@ -229,11 +229,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Sử dụng PyKnow để Suy Diễn Tiến\n", + "## Sử Dụng Experta cho Suy Diễn Tiến\n", "\n", - "Trong ví dụ tiếp theo, chúng ta sẽ thử triển khai suy diễn tiến bằng cách sử dụng một trong những thư viện dành cho biểu diễn tri thức, [PyKnow](https://github.com/buguroo/pyknow/). **PyKnow** là một thư viện để tạo ra các hệ thống suy diễn tiến trong Python, được thiết kế tương tự như hệ thống cổ điển cũ [CLIPS](http://www.clipsrules.net/index.html).\n", + "Trong ví dụ tiếp theo, chúng ta sẽ thử triển khai suy diễn tiến sử dụng một trong các thư viện đại diện kiến thức, [Experta](https://github.com/nilp0inter/experta). **Experta** là một thư viện để tạo hệ thống suy diễn tiến trong Python, được thiết kế tương tự với hệ thống cổ điển cũ [CLIPS](http://www.clipsrules.net/index.html).\n", "\n", - "Chúng ta cũng có thể tự triển khai suy diễn tiến mà không gặp nhiều khó khăn, nhưng các triển khai đơn giản thường không hiệu quả. Để khớp quy tắc hiệu quả hơn, một thuật toán đặc biệt [Rete](https://en.wikipedia.org/wiki/Rete_algorithm) được sử dụng.\n" + "Chúng ta cũng có thể tự triển khai chuỗi suy diễn tiến mà không gặp nhiều vấn đề, nhưng các triển khai ngây thơ thường không hiệu quả lắm. Để khớp quy tắc hiệu quả hơn, một thuật toán đặc biệt [Rete](https://en.wikipedia.org/wiki/Rete_algorithm) được sử dụng.\n" ] }, { @@ -247,32 +247,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "Collecting git+https://github.com/buguroo/pyknow/\n", - " Cloning https://github.com/buguroo/pyknow/ to /tmp/pip-req-build-3cqeulyl\n", - " Running command git clone --filter=blob:none --quiet https://github.com/buguroo/pyknow/ /tmp/pip-req-build-3cqeulyl\n", - " Resolved https://github.com/buguroo/pyknow/ to commit 48818336f2e9a126f1964f2d8dc22d37ff800fe8\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting frozendict==1.2\n", - " Using cached frozendict-1.2.tar.gz (2.6 kB)\n", - " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hCollecting schema==0.6.7\n", - " Using cached schema-0.6.7-py2.py3-none-any.whl (14 kB)\n", - "Building wheels for collected packages: pyknow, frozendict\n", - " Building wheel for pyknow (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for pyknow: filename=pyknow-1.7.0-py3-none-any.whl size=34228 sha256=b7de5b09292c4007667c72f69b98d5a1b5f7324ff15f9dd8e077c3d5f7aade42\n", - " Stored in directory: /tmp/pip-ephem-wheel-cache-k7jpave7/wheels/81/1a/d3/f6c15dbe1955598a37755215f2a10449e7418500d7bd4b9508\n", - " Building wheel for frozendict (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for frozendict: filename=frozendict-1.2-py3-none-any.whl size=3148 sha256=2863d55c240d2409cddf05ccfe600591f8478681549fc97555c47c90dc6bb160\n", - " Stored in directory: /home/rg/.cache/pip/wheels/49/ac/f8/cb8120244e710bdb479c86198b03c7b08c3c2d3d2bf448fd6e\n", - "Successfully built pyknow frozendict\n", - "Installing collected packages: schema, frozendict, pyknow\n", - "Successfully installed frozendict-1.2 pyknow-1.7.0 schema-0.6.7\n" + "Collecting git+https://github.com/nilp0inter/experta\n", + " Cloning https://github.com/nilp0inter/experta to /tmp/pip-req-build-7qurtwk3\n", + " Running command git clone --filter=blob:none --quiet https://github.com/nilp0inter/experta /tmp/pip-req-build-7qurtwk3\n", + " Resolved https://github.com/nilp0inter/experta to commit c6d5834b123861f5ae09e7d07027dc98bec58741\n", + " Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hRequirement already satisfied: frozendict~=2.4.6 in /opt/conda/envs/ai4beg/lib/python3.12/site-packages (from experta==1.9.5.dev1) (2.4.7)\n", + "Collecting schema~=0.6.7 (from experta==1.9.5.dev1)\n", + " Downloading schema-0.6.8-py2.py3-none-any.whl.metadata (14 kB)\n", + "Downloading schema-0.6.8-py2.py3-none-any.whl (14 kB)\n", + "Building wheels for collected packages: experta\n", + " Building wheel for experta (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25h Created wheel for experta: filename=experta-1.9.5.dev1-py3-none-any.whl size=34804 sha256=888c459512a5e713f4b674caa9a0f96cfdf07ec0d6eb56cc318ce0653d218014\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-1eeii9zy/wheels/3d/e8/bb/22d7956359603fa8dd679aa09f5b8efb3f29991c3986fdc787\n", + "Successfully built experta\n", + "Installing collected packages: schema, experta\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [experta]\n", + "\u001b[1A\u001b[2KSuccessfully installed experta-1.9.5.dev1 schema-0.6.8\n" ] } ], "source": [ "import sys\n", - "!{sys.executable} -m pip install git+https://github.com/buguroo/pyknow/" + "!{sys.executable} -m pip install git+https://github.com/nilp0inter/experta" ] }, { @@ -283,15 +282,15 @@ }, "outputs": [], "source": [ - "from pyknow import *\n", - "#import pyknow" + "from experta import *\n", + "#import experta" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Chúng ta sẽ định nghĩa hệ thống của mình như một lớp kế thừa từ `KnowledgeEngine`. Mỗi quy tắc được định nghĩa bởi một hàm riêng biệt với chú thích `@Rule`, xác định khi nào quy tắc nên được kích hoạt. Bên trong quy tắc, chúng ta có thể thêm các sự kiện mới bằng cách sử dụng hàm `declare`, và việc thêm các sự kiện đó sẽ dẫn đến việc một số quy tắc khác được gọi bởi bộ suy diễn tiến.\n" + "Chúng ta sẽ định nghĩa hệ thống của mình như một lớp kế thừa từ `KnowledgeEngine`. Mỗi quy tắc được định nghĩa bởi một hàm riêng biệt với chú thích `@Rule`, xác định khi nào quy tắc đó sẽ kích hoạt. Bên trong quy tắc, chúng ta có thể thêm các sự kiện mới bằng cách sử dụng hàm `declare`, và việc thêm những sự kiện đó sẽ dẫn đến việc một số quy tắc khác được gọi bởi bộ suy luận tiên nghiệm.\n" ] }, { @@ -378,7 +377,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Khi chúng ta đã định nghĩa một cơ sở tri thức, chúng ta sẽ điền vào bộ nhớ làm việc của mình với một số sự kiện ban đầu, sau đó gọi phương thức `run()` để thực hiện suy luận. Bạn có thể thấy kết quả là các sự kiện suy luận mới được thêm vào bộ nhớ làm việc, bao gồm cả sự kiện cuối cùng về con vật (nếu chúng ta thiết lập tất cả các sự kiện ban đầu một cách chính xác).\n" + "Khi chúng ta đã định nghĩa một cơ sở kiến thức, chúng ta điền bộ nhớ làm việc với một số sự kiện ban đầu, sau đó gọi phương thức `run()` để thực hiện suy luận. Bạn có thể thấy kết quả là các sự kiện suy luận mới được thêm vào bộ nhớ làm việc, bao gồm cả sự kiện cuối cùng về con vật (nếu chúng ta thiết lập tất cả các sự kiện ban đầu đúng cách).\n" ] }, { @@ -440,7 +439,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Tuyên bố miễn trừ trách nhiệm**: \nTài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với các thông tin quan trọng, khuyến nghị sử dụng dịch vụ dịch thuật chuyên nghiệp từ con người. Chúng tôi không chịu trách nhiệm cho bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.\n" + "---\n\n\n**Tuyên bố từ chối trách nhiệm**:\nTài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi nỗ lực đảm bảo độ chính xác, xin lưu ý rằng dịch tự động có thể chứa lỗi hoặc sai sót. Tài liệu gốc bằng ngôn ngữ nguyên bản được coi là nguồn chính xác và đáng tin cậy nhất. Đối với các thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm đối với bất kỳ sự hiểu lầm hoặc giải thích sai nào phát sinh từ việc sử dụng bản dịch này.\n\n" ] } ], @@ -467,8 +466,8 @@ "version": "3.11.2" }, "coopTranslator": { - "original_hash": "ab2bd97b0453415b89a469284609a8ce", - "translation_date": "2025-08-29T14:41:38+00:00", + "original_hash": "8ef43db4b9182239fd150a76bd494fdb", + "translation_date": "2026-01-16T03:29:28+00:00", "source_file": "lessons/2-Symbolic/Animals.ipynb", "language_code": "vi" } diff --git a/translations/vi/lessons/2-Symbolic/README.md b/translations/vi/lessons/2-Symbolic/README.md index 214c8939..3b4bab63 100644 --- a/translations/vi/lessons/2-Symbolic/README.md +++ b/translations/vi/lessons/2-Symbolic/README.md @@ -1,116 +1,116 @@ -# Đại diện Tri thức và Hệ thống Chuyên gia +# Đại diện tri thức và hệ chuyên gia -![Tóm tắt nội dung AI biểu tượng](../../../../translated_images/vi/ai-symbolic.715a30cb610411a6.webp) +![Tóm tắt nội dung AI ký hiệu](../../../../../../translated_images/vi/ai-symbolic.715a30cb610411a6.webp) > Sketchnote bởi [Tomomi Imura](https://twitter.com/girlie_mac) -Cuộc tìm kiếm trí tuệ nhân tạo dựa trên việc tìm kiếm tri thức, nhằm hiểu thế giới giống như cách con người làm. Nhưng làm thế nào để thực hiện điều này? +Cuộc tìm kiếm trí tuệ nhân tạo dựa trên việc tìm kiếm tri thức, để hiểu thế giới tương tự như cách con người làm. Nhưng làm thế nào bạn có thể thực hiện điều này? -## [Câu hỏi trước bài giảng](https://ff-quizzes.netlify.app/en/ai/quiz/3) +## [Bài kiểm tra trước bài giảng](https://ff-quizzes.netlify.app/en/ai/quiz/3) -Trong những ngày đầu của AI, cách tiếp cận từ trên xuống để tạo ra các hệ thống thông minh (đã được thảo luận trong bài học trước) rất phổ biến. Ý tưởng là trích xuất tri thức từ con người vào một dạng mà máy có thể đọc được, sau đó sử dụng nó để tự động giải quyết vấn đề. Cách tiếp cận này dựa trên hai ý tưởng lớn: +Trong những ngày đầu của AI, phương pháp từ trên xuống để tạo các hệ thống thông minh (đã thảo luận trong bài học trước) rất phổ biến. Ý tưởng là trích xuất tri thức từ con người thành dạng máy có thể đọc được, rồi sử dụng để giải quyết vấn đề một cách tự động. Phương pháp này dựa trên hai ý tưởng lớn: -* Đại diện Tri thức -* Lý luận +* Đại diện tri thức +* Suy luận -## Đại diện Tri thức +## Đại diện tri thức -Một trong những khái niệm quan trọng trong AI biểu tượng là **tri thức**. Điều quan trọng là phải phân biệt tri thức với *thông tin* hoặc *dữ liệu*. Ví dụ, người ta có thể nói rằng sách chứa tri thức, vì chúng ta có thể học từ sách và trở thành chuyên gia. Tuy nhiên, những gì sách chứa thực ra được gọi là *dữ liệu*, và bằng cách đọc sách và tích hợp dữ liệu này vào mô hình thế giới của chúng ta, chúng ta chuyển đổi dữ liệu thành tri thức. +Một trong những khái niệm quan trọng trong AI ký hiệu là **tri thức**. Quan trọng là phân biệt tri thức với *thông tin* hay *dữ liệu*. Ví dụ, người ta có thể nói rằng sách chứa tri thức, vì người ta có thể học sách và trở thành chuyên gia. Tuy nhiên, những gì sách chứa thực sự được gọi là *dữ liệu*, và bằng cách đọc sách và tích hợp dữ liệu này vào mô hình thế giới của chúng ta, chúng ta chuyển dữ liệu thành tri thức. -> ✅ **Tri thức** là thứ nằm trong đầu chúng ta và đại diện cho sự hiểu biết của chúng ta về thế giới. Nó được thu nhận thông qua quá trình **học tập** chủ động, tích hợp các mảnh thông tin mà chúng ta nhận được vào mô hình thế giới của mình. +> ✅ **Tri thức** là thứ có trong đầu chúng ta và thể hiện sự hiểu biết của chúng ta về thế giới. Nó được thu nhận qua một quá trình học tập **tích cực**, tích hợp các mẩu thông tin nhận được vào mô hình thế giới hiện tại của chúng ta. -Thông thường, chúng ta không định nghĩa tri thức một cách nghiêm ngặt, nhưng chúng ta liên kết nó với các khái niệm liên quan khác bằng [Kim tự tháp DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). Nó bao gồm các khái niệm sau: +Thông thường, chúng ta không định nghĩa tri thức một cách chặt chẽ, mà căn cứ vào các khái niệm liên quan khác qua [Kim tự tháp DIKW](https://en.wikipedia.org/wiki/DIKW_pyramid). Nó bao gồm các khái niệm sau: -* **Dữ liệu** là thứ được biểu diễn trên phương tiện vật lý, chẳng hạn như văn bản viết hoặc lời nói. Dữ liệu tồn tại độc lập với con người và có thể được truyền giữa các cá nhân. -* **Thông tin** là cách chúng ta diễn giải dữ liệu trong đầu. Ví dụ, khi chúng ta nghe từ *máy tính*, chúng ta có một số hiểu biết về nó. -* **Tri thức** là thông tin được tích hợp vào mô hình thế giới của chúng ta. Ví dụ, một khi chúng ta học được máy tính là gì, chúng ta bắt đầu có một số ý tưởng về cách nó hoạt động, giá cả và mục đích sử dụng. Mạng lưới các khái niệm liên quan này hình thành tri thức của chúng ta. -* **Sự khôn ngoan** là một cấp độ cao hơn trong sự hiểu biết của chúng ta về thế giới, và nó đại diện cho *siêu tri thức*, ví dụ như một khái niệm về cách và thời điểm sử dụng tri thức. +* **Dữ liệu** là thứ thể hiện trên các phương tiện vật lý, như văn bản viết hoặc lời nói. Dữ liệu tồn tại độc lập với con người và có thể được truyền giữa người với người. +* **Thông tin** là cách chúng ta diễn giải dữ liệu trong đầu mình. Ví dụ, khi nghe từ *máy tính*, ta có một số hiểu biết về nó. +* **Tri thức** là thông tin được tích hợp vào mô hình thế giới của chúng ta. Ví dụ, khi ta học về máy tính, ta bắt đầu có ý niệm về cách nó hoạt động, giá cả và ứng dụng. Mạng lưới các khái niệm liên quan này tạo thành tri thức của chúng ta. +* **Trí tuệ** là một cấp độ cao hơn trong hiểu biết về thế giới, đại diện cho *meta-knowledge*, ví dụ như cách và khi nào nên sử dụng tri thức. - + -*Hình ảnh [từ Wikipedia](https://commons.wikimedia.org/w/index.php?curid=37705247), Bởi Longlivetheux - Tác phẩm của chính mình, CC BY-SA 4.0* +*Hình ảnh [từ Wikipedia](https://commons.wikimedia.org/w/index.php?curid=37705247), Tác giả Longlivetheux - Tác phẩm riêng, CC BY-SA 4.0* -Do đó, vấn đề của **đại diện tri thức** là tìm một cách hiệu quả để biểu diễn tri thức bên trong máy tính dưới dạng dữ liệu, để có thể sử dụng tự động. Điều này có thể được xem như một phổ: +Do đó, vấn đề **đại diện tri thức** là tìm cách hiệu quả để biểu diễn tri thức bên trong máy tính dưới dạng dữ liệu, nhằm làm cho tri thức có thể sử dụng tự động. Điều này có thể xem như một phổ: -![Phổ đại diện tri thức](../../../../translated_images/vi/knowledge-spectrum.b60df631852c0217.webp) +![Phổ đại diện tri thức](../../../../../../translated_images/vi/knowledge-spectrum.b60df631852c0217.webp) -> Hình ảnh bởi [Dmitry Soshnikov](http://soshnikov.com) +> Hình bởi [Dmitry Soshnikov](http://soshnikov.com) -* Ở bên trái, có các loại đại diện tri thức rất đơn giản có thể được máy tính sử dụng hiệu quả. Loại đơn giản nhất là thuật toán, khi tri thức được biểu diễn bằng một chương trình máy tính. Tuy nhiên, đây không phải là cách tốt nhất để biểu diễn tri thức, vì nó không linh hoạt. Tri thức trong đầu chúng ta thường không mang tính thuật toán. -* Ở bên phải, có các đại diện như văn bản tự nhiên. Đây là loại mạnh mẽ nhất, nhưng không thể sử dụng để lý luận tự động. +* Ở bên trái, là các loại đại diện tri thức rất đơn giản có thể được máy tính sử dụng hiệu quả. Đơn giản nhất là thuật toán, khi tri thức được biểu diễn bởi chương trình máy tính. Tuy nhiên, đây không phải cách tốt nhất để biểu diễn tri thức vì nó không linh hoạt. Tri thức trong đầu chúng ta thường không phải là thuật toán. +* Ở bên phải, là các biểu diễn như văn bản tự nhiên. Nó mạnh mẽ nhất, nhưng không thể dùng cho suy luận tự động. -> ✅ Hãy nghĩ trong một phút về cách bạn biểu diễn tri thức trong đầu và chuyển nó thành ghi chú. Có định dạng nào đặc biệt giúp bạn ghi nhớ tốt hơn không? +> ✅ Hãy suy nghĩ một lát về cách bạn đại diện tri thức trong đầu và chuyển đổi nó thành ghi chú. Có định dạng nào phù hợp giúp bạn ghi nhớ tốt hơn không? -## Phân loại Đại diện Tri thức Máy tính +## Phân loại các Đại diện Tri thức trên máy tính -Chúng ta có thể phân loại các phương pháp đại diện tri thức máy tính thành các danh mục sau: +Chúng ta có thể phân loại các phương pháp đại diện tri thức trên máy tính thành các nhóm sau: -* **Đại diện mạng** dựa trên thực tế rằng chúng ta có một mạng lưới các khái niệm liên quan trong đầu. Chúng ta có thể cố gắng tái tạo các mạng lưới này dưới dạng đồ thị trong máy tính - một **mạng ngữ nghĩa**. +* **Mạng lưới đại diện** dựa trên thực tế là chúng ta có mạng lưới các khái niệm liên quan trong đầu. Có thể tái tạo mạng lưới này dưới dạng đồ thị trong máy tính - gọi là **mạng ngữ nghĩa**. -1. **Bộ ba Đối tượng-Thuộc tính-Giá trị** hoặc **cặp thuộc tính-giá trị**. Vì một đồ thị có thể được biểu diễn trong máy tính dưới dạng danh sách các nút và cạnh, chúng ta có thể biểu diễn một mạng ngữ nghĩa bằng danh sách các bộ ba, chứa đối tượng, thuộc tính và giá trị. Ví dụ, chúng ta xây dựng các bộ ba sau về ngôn ngữ lập trình: +1. **Bộ ba Đối tượng - Thuộc tính - Giá trị** hoặc **cặp thuộc tính - giá trị**. Vì đồ thị có thể biểu diễn dưới dạng danh sách các nút và cạnh, chúng ta có thể biểu diễn mạng ngữ nghĩa bằng danh sách các bộ ba, chứa đối tượng, thuộc tính, và giá trị. Ví dụ, ta xây dựng các bộ ba sau về các ngôn ngữ lập trình: Đối tượng | Thuộc tính | Giá trị -----------|------------|------- -Python | là | Ngôn ngữ không kiểu -Python | được phát minh bởi | Guido van Rossum -Python | cú pháp khối | thụt lề -Ngôn ngữ không kiểu | không có | định nghĩa kiểu +----------|------------|--------- +Python | là | Ngôn-ngữ-không-gõ-kiểu +Python | sáng tạo bởi | Guido van Rossum +Python | cú pháp khối | thụt lề +Ngôn-ngữ-không-gõ-kiểu | không có | định nghĩa kiểu -> ✅ Hãy nghĩ cách các bộ ba có thể được sử dụng để biểu diễn các loại tri thức khác. +> ✅ Suy nghĩ cách sử dụng bộ ba để đại diện cho các loại tri thức khác. -2. **Đại diện phân cấp** nhấn mạnh thực tế rằng chúng ta thường tạo ra một hệ thống phân cấp các đối tượng trong đầu. Ví dụ, chúng ta biết rằng chim hoàng yến là một loài chim, và tất cả các loài chim đều có cánh. Chúng ta cũng có một số ý tưởng về màu sắc của chim hoàng yến, và tốc độ bay của chúng. +2. **Đại diện phân cấp** nhấn mạnh thực tế rằng chúng ta thường tạo ra một hệ thống phân cấp các đối tượng trong đầu. Ví dụ, ta biết rằng chim hoàng yến là một loài chim, và tất cả chim đều có cánh. Ta cũng biết màu sắc thường thấy của hoàng yến và tốc độ bay của nó. - - **Đại diện khung** dựa trên việc biểu diễn mỗi đối tượng hoặc lớp đối tượng dưới dạng một **khung** chứa **khe**. Các khe có giá trị mặc định, giới hạn giá trị, hoặc các thủ tục được lưu trữ có thể được gọi để lấy giá trị của một khe. Tất cả các khung tạo thành một hệ thống phân cấp tương tự như hệ thống phân cấp đối tượng trong các ngôn ngữ lập trình hướng đối tượng. - - **Kịch bản** là một loại khung đặc biệt đại diện cho các tình huống phức tạp có thể diễn ra theo thời gian. + - **Đại diện khung** dựa trên việc biểu diễn mỗi đối tượng hoặc lớp đối tượng như một **khung** chứa các **khung con (slots)**. Các khung con có thể có giá trị mặc định, giới hạn giá trị, hoặc thủ tục lưu trữ có thể gọi để lấy giá trị. Tất cả các khung tạo thành một phân cấp tương tự như phân cấp đối tượng trong lập trình hướng đối tượng. + - **Kịch bản** là loại khung đặc biệt đại diện cho các tình huống phức tạp có thể diễn ra theo thời gian. **Python** -Khe | Giá trị | Giá trị mặc định | Khoảng | -----|---------|------------------|--------| -Tên | Python | | | -Là | Ngôn ngữ không kiểu | | | -Kiểu biến | | CamelCase | | -Độ dài chương trình | | | 5-5000 dòng | -Cú pháp khối | Thụt lề | | | +Khung con | Giá trị | Giá trị mặc định | Khoảng | +----------|----------|------------------|--------| +Tên | Python | | | +Là | Ngôn-ngữ-không-gõ-kiểu | | | +Kiểu đặt biến | | CamelCase | | +Chiều dài chương trình | | | 5-5000 dòng | +Cú pháp khối | Thụt lề | | | -3. **Đại diện thủ tục** dựa trên việc biểu diễn tri thức bằng danh sách các hành động có thể được thực hiện khi một điều kiện nhất định xảy ra. - - Quy tắc sản xuất là các câu lệnh if-then cho phép chúng ta rút ra kết luận. Ví dụ, một bác sĩ có thể có quy tắc nói rằng **NẾU** bệnh nhân bị sốt cao **HOẶC** mức protein C-reactive cao trong xét nghiệm máu **THÌ** bệnh nhân bị viêm. Khi gặp một trong các điều kiện, chúng ta có thể đưa ra kết luận về viêm, và sau đó sử dụng nó trong lý luận tiếp theo. - - Thuật toán có thể được coi là một dạng đại diện thủ tục khác, mặc dù chúng hầu như không bao giờ được sử dụng trực tiếp trong các hệ thống dựa trên tri thức. +3. **Đại diện thủ tục** dựa trên việc biểu diễn tri thức dưới dạng danh sách các hành động có thể thực hiện khi một điều kiện nhất định xảy ra. + - Quy tắc sản xuất là các câu lệnh nếu-thì cho phép chúng ta rút ra kết luận. Ví dụ, bác sĩ có thể có quy tắc nói rằng **NẾU** bệnh nhân sốt cao **HOẶC** nồng độ Protein C phản ứng trong máu cao **THÌ** anh ta bị viêm. Khi gặp một trong các điều kiện này, ta có thể rút ra kết luận về viêm và dùng nó trong suy luận tiếp theo. + - Thuật toán cũng có thể xem như một dạng đại diện thủ tục, dù hiếm khi dùng trực tiếp trong các hệ thống dựa trên tri thức. -4. **Logic** ban đầu được Aristotle đề xuất như một cách để biểu diễn tri thức phổ quát của con người. - - Logic vị từ như một lý thuyết toán học quá phong phú để có thể tính toán, do đó một số tập hợp con của nó thường được sử dụng, chẳng hạn như các mệnh đề Horn được sử dụng trong Prolog. - - Logic mô tả là một họ các hệ thống logic được sử dụng để biểu diễn và lý luận về các hệ thống phân cấp đối tượng trong các đại diện tri thức phân tán như *web ngữ nghĩa*. +4. **Logic** được Aristotle đề xuất ban đầu như một cách biểu diễn tri thức phổ quát của con người. + - Logic vị từ như một lý thuyết toán học quá phức tạp để máy tính có thể xử lý hoàn toàn, do đó thường dùng một tập con, như các mệnh đề Horn trong Prolog. + - Logic mô tả là họ hệ thống logic dùng để biểu diễn và suy luận về phân cấp đối tượng trong các đại diện tri thức phân tán như *mạng ngữ nghĩa*. -## Hệ thống Chuyên gia +## Hệ chuyên gia -Một trong những thành công ban đầu của AI biểu tượng là các **hệ thống chuyên gia** - các hệ thống máy tính được thiết kế để hoạt động như một chuyên gia trong một lĩnh vực vấn đề hạn chế. Chúng dựa trên một **cơ sở tri thức** được trích xuất từ một hoặc nhiều chuyên gia con người, và chứa một **động cơ suy luận** thực hiện một số lý luận dựa trên cơ sở đó. +Một trong những thành công đầu tiên của AI ký hiệu là các **hệ chuyên gia** - các hệ thống máy tính được thiết kế để đóng vai trò chuyên gia trong một lĩnh vực vấn đề giới hạn. Chúng dựa trên **cơ sở tri thức** trích xuất từ một hoặc nhiều chuyên gia con người, và có chứa **bộ suy luận** thực hiện suy luận dựa trên đó. -![Kiến trúc con người](../../../../translated_images/vi/arch-human.5d4d35f1bba3ab1c.webp) | ![Hệ thống dựa trên tri thức](../../../../translated_images/vi/arch-kbs.3ec5c150b09fa8da.webp) ----------------------------------------------|------------------------------------------------ -Cấu trúc đơn giản của hệ thần kinh con người | Kiến trúc của hệ thống dựa trên tri thức +![Cấu trúc hệ thần kinh con người](../../../../../../translated_images/vi/arch-human.5d4d35f1bba3ab1c.webp) | ![Hệ thống dựa trên tri thức](../../../../../../translated_images/vi/arch-kbs.3ec5c150b09fa8da.webp) +--------------------------------------------------------|---------------------------------------------------- +Cấu trúc đơn giản của hệ thần kinh con người | Kiến trúc hệ thống dựa trên tri thức -Hệ thống chuyên gia được xây dựng giống như hệ thống lý luận của con người, chứa **bộ nhớ ngắn hạn** và **bộ nhớ dài hạn**. Tương tự, trong các hệ thống dựa trên tri thức, chúng ta phân biệt các thành phần sau: +Hệ chuyên gia được xây dựng như hệ thống suy luận của con người, có **bộ nhớ ngắn hạn** và **bộ nhớ dài hạn**. Tương tự trong hệ dựa trên tri thức ta phân biệt các thành phần: -* **Bộ nhớ vấn đề**: chứa tri thức về vấn đề đang được giải quyết, ví dụ như nhiệt độ hoặc huyết áp của bệnh nhân, liệu bệnh nhân có bị viêm hay không, v.v. Tri thức này còn được gọi là **tri thức tĩnh**, vì nó chứa ảnh chụp nhanh về những gì chúng ta hiện biết về vấn đề - trạng thái vấn đề. -* **Cơ sở tri thức**: đại diện cho tri thức dài hạn về một lĩnh vực vấn đề. Nó được trích xuất thủ công từ các chuyên gia con người, và không thay đổi từ lần tư vấn này sang lần tư vấn khác. Vì nó cho phép chúng ta điều hướng từ trạng thái vấn đề này sang trạng thái khác, nó cũng được gọi là **tri thức động**. -* **Động cơ suy luận**: điều phối toàn bộ quá trình tìm kiếm trong không gian trạng thái vấn đề, đặt câu hỏi cho người dùng khi cần thiết. Nó cũng chịu trách nhiệm tìm các quy tắc phù hợp để áp dụng cho mỗi trạng thái. +* **Bộ nhớ vấn đề**: chứa tri thức về bài toán đang giải, ví dụ nhiệt độ hay huyết áp của bệnh nhân, liệu anh ta có bị viêm hay không, vv. Tri thức này còn gọi là **tri thức tĩnh**, vì nó chứa một ảnh chụp nhanh về trạng thái hiện tại của vấn đề - gọi là *trạng thái bài toán*. +* **Cơ sở tri thức**: đại diện tri thức dài hạn về miền vấn đề. Được trích xuất thủ công từ các chuyên gia con người, không thay đổi giữa các lần tham vấn. Vì cho phép chuyển từ trạng thái vấn đề này sang trạng thái khác, nó còn gọi là **tri thức động**. +* **Bộ suy luận**: phối hợp toàn bộ quá trình tìm kiếm trong không gian trạng thái bài toán, hỏi người dùng khi cần. Nó cũng chịu trách nhiệm tìm các quy tắc thích hợp sẽ áp dụng cho mỗi trạng thái. -Ví dụ, hãy xem xét hệ thống chuyên gia sau đây để xác định một loài động vật dựa trên các đặc điểm vật lý của nó: +Lấy ví dụ hệ chuyên gia xác định một con vật dựa trên đặc điểm thể chất: -![Cây AND-OR](../../../../translated_images/vi/AND-OR-Tree.5592d2c70187f283.webp) +![Cây AND-OR](../../../../../../translated_images/vi/AND-OR-Tree.5592d2c70187f283.webp) -> Hình ảnh bởi [Dmitry Soshnikov](http://soshnikov.com) +> Hình bởi [Dmitry Soshnikov](http://soshnikov.com) -Sơ đồ này được gọi là **cây AND-OR**, và nó là một biểu diễn đồ họa của một tập hợp các quy tắc sản xuất. Vẽ cây rất hữu ích khi bắt đầu trích xuất tri thức từ chuyên gia. Để biểu diễn tri thức bên trong máy tính, việc sử dụng các quy tắc sẽ thuận tiện hơn: +Sơ đồ này gọi là **cây AND-OR**, là biểu diễn đồ họa của một tập các quy tắc sản xuất. Vẽ cây rất hữu ích khi bắt đầu trích xuất tri thức từ chuyên gia. Để biểu diễn tri thức trong máy tính, thường dùng quy tắc: ``` IF the animal eats meat @@ -121,42 +121,78 @@ OR (animal has sharp teeth THEN the animal is a carnivore ``` -Bạn có thể nhận thấy rằng mỗi điều kiện ở phía bên trái của quy tắc và hành động thực chất là các bộ ba đối tượng-thuộc tính-giá trị (OAV). **Bộ nhớ làm việc** chứa tập hợp các bộ ba OAV tương ứng với vấn đề hiện đang được giải quyết. Một **động cơ quy tắc** tìm kiếm các quy tắc mà điều kiện được thỏa mãn và áp dụng chúng, thêm một bộ ba mới vào bộ nhớ làm việc. +Bạn có thể nhận thấy mỗi điều kiện bên trái quy tắc và hành động đều là những bộ ba đối tượng-thuộc tính-giá trị (OAV). **Bộ nhớ làm việc** chứa tập hợp các bộ ba OAV tương ứng với vấn đề đang giải. Một **bộ máy quy tắc** tìm các quy tắc thỏa mãn điều kiện và áp dụng, thêm một bộ ba mới vào bộ nhớ làm việc. -> ✅ Hãy viết cây AND-OR của riêng bạn về một chủ đề mà bạn yêu thích! +> ✅ Viết cây AND-OR của riêng bạn về một chủ đề bạn thích! ### Suy luận Tiến và Suy luận Lùi -Quá trình được mô tả ở trên được gọi là **suy luận tiến**. Nó bắt đầu với một số dữ liệu ban đầu về vấn đề có sẵn trong bộ nhớ làm việc, và sau đó thực hiện vòng lặp lý luận sau: +Quá trình mô tả ở trên gọi là **suy luận tiến**. Nó bắt đầu với dữ liệu ban đầu về vấn đề trong bộ nhớ làm việc, rồi thực hiện vòng lặp suy luận: -1. Nếu thuộc tính mục tiêu có trong bộ nhớ làm việc - dừng lại và đưa ra kết quả -2. Tìm tất cả các quy tắc mà điều kiện hiện tại được thỏa mãn - thu được **tập hợp xung đột** của các quy tắc. -3. Thực hiện **giải quyết xung đột** - chọn một quy tắc sẽ được thực hiện trong bước này. Có thể có các chiến lược giải quyết xung đột khác nhau: - - Chọn quy t -- Một họ ngôn ngữ dựa trên XML để mô tả tri thức: RDF (Resource Description Framework), RDFS (RDF Schema), OWL (Ontology Web Language). +1. Nếu thuộc tính mục tiêu có trong bộ nhớ làm việc - dừng lại và cho kết quả +2. Tìm tất cả quy tắc có điều kiện hiện đang thỏa mãn - thu được **tập hợp xung đột** các quy tắc. +3. Thực hiện **giải quyết xung đột** - chọn một quy tắc sẽ thực thi bước này. Có thể có các chiến lược giải quyết xung đột khác nhau: + - Chọn quy tắc áp dụng đầu tiên trong cơ sở tri thức + - Chọn ngẫu nhiên một quy tắc + - Chọn quy tắc *cụ thể hơn*, tức là thỏa nhiều điều kiện bên trái (LHS) nhất +4. Áp dụng quy tắc đã chọn và thêm kiến thức mới vào trạng thái bài toán +5. Lặp lại từ bước 1. -Một khái niệm cốt lõi trong Semantic Web là khái niệm **Ontology**. Nó đề cập đến việc đặc tả rõ ràng một miền vấn đề bằng cách sử dụng một số phương pháp biểu diễn tri thức chính thức. Ontology đơn giản nhất có thể chỉ là một hệ thống phân cấp các đối tượng trong miền vấn đề, nhưng các ontology phức tạp hơn sẽ bao gồm các quy tắc có thể được sử dụng để suy luận. +Tuy nhiên, trong một số trường hợp, ta có thể muốn bắt đầu với kiến thức trống về vấn đề, và hỏi những câu hỏi giúp ta đi đến kết luận. Ví dụ, xét chẩn đoán y tế, thường ta không làm hết các xét nghiệm trước khi bắt đầu chẩn đoán. Ta muốn chỉ thực hiện khi cần quyết định. -Trong Semantic Web, tất cả các biểu diễn đều dựa trên các bộ ba. Mỗi đối tượng và mỗi mối quan hệ đều được xác định duy nhất bằng URI. Ví dụ, nếu chúng ta muốn nêu rõ rằng chương trình giảng dạy AI này được phát triển bởi Dmitry Soshnikov vào ngày 1 tháng 1 năm 2022 - đây là các bộ ba mà chúng ta có thể sử dụng: +Quá trình này có thể mô phỏng bằng **suy luận lùi**. Nó được điều khiển bởi **mục tiêu** - giá trị thuộc tính ta cần tìm: - +1. Chọn tất cả quy tắc có thể cho ta giá trị của mục tiêu (tức có mục tiêu ở bên phải (RHS)) - tập hợp xung đột +1. Nếu không có quy tắc nào cho thuộc tính đó, hoặc có quy tắc bảo hỏi người dùng - thì hỏi, nếu không: +1. Dùng chiến lược giải quyết xung đột để chọn một quy tắc sử dụng làm *giả thuyết* - ta sẽ cố gắng chứng minh nó +1. Lặp lại tuần hoàn quy trình cho tất cả thuộc tính ở bên trái quy tắc, cố chứng minh chúng như mục tiêu +1. Nếu bất kỳ lúc nào quá trình không thành công - dùng quy tắc khác tại bước 3. + +> ✅ Trong những tình huống nào suy luận tiến phù hợp hơn? Còn suy luận lùi thì sao? + +### Triển khai Hệ chuyên gia + +Hệ chuyên gia có thể được triển khai bằng các công cụ khác nhau: + +* Lập trình trực tiếp bằng một ngôn ngữ lập trình cấp cao. Đây không phải ý kiến tốt, vì lợi thế chính của hệ dựa trên tri thức là tri thức được tách biệt khỏi bộ suy luận, và có thể chuyên gia lĩnh vực không cần biết chi tiết suy luận vẫn viết được quy tắc. +* Sử dụng **khung hệ chuyên gia**, tức là hệ được thiết kế đặc biệt để nhập tri thức bằng một ngôn ngữ đại diện tri thức. + +## ✍️ Bài tập: Suy luận động vật + +Xem [Animals.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) để xem ví dụ về triển khai hệ chuyên gia suy luận tiến và lùi. + +> **Lưu ý**: Ví dụ này khá đơn giản, chỉ để hiểu ý tưởng về cách hệ chuyên gia hoạt động. Khi bạn bắt đầu tạo hệ như vậy, bạn chỉ nhìn thấy hành vi *thông minh* khi có một số lượng quy tắc nhất định, khoảng 200+. Đến một lúc, các quy tắc trở nên quá phức tạp để nhớ hết, và bạn sẽ tự hỏi vì sao hệ đưa ra quyết định đó. Tuy nhiên, điểm quan trọng của hệ dựa trên tri thức là bạn luôn có thể *giải thích* chính xác cách các quyết định được đưa ra. + +## Các Ontology và Mạng ngữ nghĩa + +Vào cuối thế kỷ 20 có sáng kiến sử dụng đại diện tri thức để chú thích tài nguyên Internet, nhằm tìm kiếm tài nguyên phù hợp với các truy vấn rất cụ thể. Phong trào này gọi là **Mạng ngữ nghĩa**, dựa trên một số khái niệm: + +- Đại diện tri thức đặc biệt dựa trên **[logic mô tả](https://en.wikipedia.org/wiki/Description_logic)** (DL). Nó giống đại diện khung vì xây dựng hệ phân cấp các đối tượng với thuộc tính, nhưng có ngữ nghĩa logic chính thức và suy luận. Có một họ các DL cân bằng giữa tính biểu đạt và độ phức tạp thuật toán trong suy luận. +- Đại diện tri thức phân tán, trong đó tất cả khái niệm được đại diện bằng định danh URI toàn cầu, cho phép tạo các phân cấp tri thức trải rộng trên Internet. +- Một họ các ngôn ngữ dựa trên XML để mô tả kiến thức: RDF (Resource Description Framework), RDFS (RDF Schema), OWL (Ontology Web Language). + +Một khái niệm cốt lõi trong Semantic Web là khái niệm **Ontology**. Nó chỉ việc định nghĩa rõ ràng một miền vấn đề sử dụng một số cách biểu diễn kiến thức chính thức. Ontology đơn giản nhất có thể chỉ là một hệ thống phân cấp các đối tượng trong miền vấn đề, nhưng các ontology phức tạp hơn sẽ bao gồm các quy tắc có thể dùng để suy luận. + +Trong Semantic Web, tất cả các biểu diễn đều dựa trên các bộ ba. Mỗi đối tượng và mỗi quan hệ đều được xác định duy nhất bằng URI. Ví dụ, nếu ta muốn phát biểu sự thật rằng Chương trình học AI này đã được Dmitry Soshnikov phát triển vào ngày 1 tháng 1 năm 2022 - đây là các bộ ba mà ta có thể sử dụng: + + ``` -http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 13, 2007” +http://github.com/microsoft/ai-for-beginners http://www.example.com/terms/creation-date “Jan 1, 2022” http://github.com/microsoft/ai-for-beginners http://purl.org/dc/elements/1.1/creator http://soshnikov.com ``` -> ✅ Ở đây `http://www.example.com/terms/creation-date` và `http://purl.org/dc/elements/1.1/creator` là một số URI được chấp nhận rộng rãi để biểu thị các khái niệm *người tạo* và *ngày tạo*. +> ✅ Ở đây `http://www.example.com/terms/creation-date` và `http://purl.org/dc/elements/1.1/creator` là những URI phổ biến và được chấp nhận rộng rãi để biểu đạt khái niệm *người tạo* và *ngày tạo*. -Trong trường hợp phức tạp hơn, nếu chúng ta muốn định nghĩa một danh sách các người tạo, chúng ta có thể sử dụng một số cấu trúc dữ liệu được định nghĩa trong RDF. +Trong trường hợp phức tạp hơn, nếu ta muốn định nghĩa một danh sách các người tạo, ta có thể sử dụng một số cấu trúc dữ liệu được định nghĩa trong RDF. - + > Các sơ đồ trên bởi [Dmitry Soshnikov](http://soshnikov.com) -Tiến trình xây dựng Semantic Web đã bị chậm lại phần nào bởi sự thành công của các công cụ tìm kiếm và các kỹ thuật xử lý ngôn ngữ tự nhiên, cho phép trích xuất dữ liệu có cấu trúc từ văn bản. Tuy nhiên, trong một số lĩnh vực vẫn có những nỗ lực đáng kể để duy trì các ontology và cơ sở tri thức. Một vài dự án đáng chú ý: +Sự tiến triển trong việc xây dựng Semantic Web đã phần nào bị chậm lại bởi sự thành công của các công cụ tìm kiếm và kỹ thuật xử lý ngôn ngữ tự nhiên, cho phép khai thác dữ liệu có cấu trúc từ văn bản. Tuy nhiên, ở một vài lĩnh vực vẫn có những nỗ lực đáng kể để duy trì các ontology và cơ sở kiến thức. Một số dự án đáng chú ý: -* [WikiData](https://wikidata.org/) là một tập hợp các cơ sở tri thức có thể đọc được bằng máy liên kết với Wikipedia. Phần lớn dữ liệu được khai thác từ các *InfoBoxes* của Wikipedia, các phần nội dung có cấu trúc bên trong các trang Wikipedia. Bạn có thể [truy vấn](https://query.wikidata.org/) WikiData bằng SPARQL, một ngôn ngữ truy vấn đặc biệt dành cho Semantic Web. Đây là một truy vấn mẫu hiển thị các màu mắt phổ biến nhất ở con người: +* [WikiData](https://wikidata.org/) là một tập hợp các cơ sở tri thức có thể đọc bởi máy liên kết với Wikipedia. Phần lớn dữ liệu được khai thác từ các *InfoBox* trong Wikipedia, các phần nội dung có cấu trúc bên trong các trang Wikipedia. Bạn có thể [truy vấn](https://query.wikidata.org/) wikidata bằng SPARQL, một ngôn ngữ truy vấn đặc biệt cho Semantic Web. Đây là một truy vấn mẫu hiển thị các màu mắt phổ biến nhất ở người: ```sparql #defaultView:BubbleChart @@ -170,47 +206,52 @@ WHERE GROUP BY ?eyeColorLabel ``` -* [DBpedia](https://www.dbpedia.org/) là một nỗ lực khác tương tự như WikiData. +* [DBpedia](https://www.dbpedia.org/) là một nỗ lực khác tương tự WikiData. -> ✅ Nếu bạn muốn thử nghiệm xây dựng các ontology của riêng mình, hoặc mở các ontology hiện có, có một trình chỉnh sửa ontology trực quan tuyệt vời gọi là [Protégé](https://protege.stanford.edu/). Tải xuống hoặc sử dụng trực tuyến. +> ✅ Nếu bạn muốn thử nghiệm xây dựng ontology của riêng mình hoặc mở các ontology hiện có, có một công cụ chỉnh sửa ontology trực quan tuyệt vời gọi là [Protégé](https://protege.stanford.edu/). Tải về hoặc sử dụng trực tuyến. - + -*Trình chỉnh sửa Web Protégé mở với ontology Gia đình Romanov. Ảnh chụp màn hình bởi Dmitry Soshnikov* +*Trình chỉnh sửa Web Protégé mở với ontology gia đình Romanov. Ảnh chụp màn hình bởi Dmitry Soshnikov* ## ✍️ Bài tập: Ontology Gia đình -Xem [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) để biết ví dụ về cách sử dụng các kỹ thuật Semantic Web để suy luận về các mối quan hệ gia đình. Chúng ta sẽ lấy một cây gia đình được biểu diễn theo định dạng GEDCOM phổ biến và một ontology về các mối quan hệ gia đình để xây dựng một đồ thị của tất cả các mối quan hệ gia đình cho một tập hợp các cá nhân. + +Xem [FamilyOntology.ipynb](https://github.com/Ezana135/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) để có ví dụ về việc sử dụng các kỹ thuật Semantic Web để suy luận về các mối quan hệ gia đình. Chúng ta sẽ lấy một cây gia đình được biểu diễn theo định dạng GEDCOM thông dụng và một ontology về các mối quan hệ gia đình để xây dựng một đồ thị tất cả các mối quan hệ gia đình cho một tập cá thể cho trước. ## Microsoft Concept Graph -Trong hầu hết các trường hợp, các ontology được tạo ra một cách cẩn thận bằng tay. Tuy nhiên, cũng có thể **khai thác** các ontology từ dữ liệu không có cấu trúc, ví dụ như từ các văn bản ngôn ngữ tự nhiên. +Trong hầu hết các trường hợp, các ontology được tạo ra cẩn thận bằng tay. Tuy nhiên, cũng có thể **khai thác** ontology từ dữ liệu phi cấu trúc, ví dụ từ các văn bản ngôn ngữ tự nhiên. Một nỗ lực như vậy đã được thực hiện bởi Microsoft Research, và kết quả là [Microsoft Concept Graph](https://blogs.microsoft.com/ai/microsoft-researchers-release-graph-that-helps-machines-conceptualize/?WT.mc_id=academic-77998-cacaste). -Đây là một tập hợp lớn các thực thể được nhóm lại với nhau bằng mối quan hệ kế thừa `is-a`. Nó cho phép trả lời các câu hỏi như "Microsoft là gì?" - câu trả lời có thể là "một công ty với xác suất 0.87, và một thương hiệu với xác suất 0.75". +Đó là một tập hợp lớn các thực thể được nhóm lại với nhau sử dụng quan hệ kế thừa `is-a`. Nó cho phép trả lời các câu hỏi như "Microsoft là gì?" - câu trả lời có thể là "một công ty với xác suất 0.87, và một thương hiệu với xác suất 0.75". -Graph này có sẵn dưới dạng REST API hoặc dưới dạng một tệp văn bản lớn liệt kê tất cả các cặp thực thể. +Đồ thị này có thể truy cập qua REST API, hoặc như một tập tin văn bản lớn có thể tải về liệt kê tất cả các cặp thực thể. -## ✍️ Bài tập: Concept Graph +## ✍️ Bài tập: Đồ thị Khái niệm -Hãy thử notebook [MSConceptGraph.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb) để xem cách chúng ta có thể sử dụng Microsoft Concept Graph để nhóm các bài báo tin tức vào một số danh mục. +Thử notebook [MSConceptGraph.ipynb](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/MSConceptGraph.ipynb) để xem cách ta có thể sử dụng Microsoft Concept Graph để phân nhóm các bài báo tin tức thành một vài thể loại. ## Kết luận -Ngày nay, AI thường được coi là đồng nghĩa với *Machine Learning* hoặc *Neural Networks*. Tuy nhiên, con người cũng thể hiện khả năng suy luận rõ ràng, điều mà hiện tại các mạng nơ-ron chưa xử lý được. Trong các dự án thực tế, suy luận rõ ràng vẫn được sử dụng để thực hiện các nhiệm vụ yêu cầu giải thích, hoặc khả năng thay đổi hành vi của hệ thống một cách có kiểm soát. +Ngày nay, AI thường được coi là đồng nghĩa với *Machine Learning* hoặc *Neural Networks*. Tuy nhiên, con người cũng thể hiện khả năng suy luận rõ ràng, điều mà hiện nay mạng nơ-ron chưa xử lý được. Trong các dự án thực tế, suy luận rõ ràng vẫn được dùng để thực hiện các nhiệm vụ yêu cầu giải thích, hoặc có thể điều chỉnh hành vi của hệ thống một cách có kiểm soát. -## 🚀 Thử thách +## 🚀 Thách thức -Trong notebook Family Ontology liên quan đến bài học này, có cơ hội để thử nghiệm với các mối quan hệ gia đình khác. Hãy thử khám phá các kết nối mới giữa các thành viên trong cây gia đình. +Trong notebook Ontology Gia đình đi kèm bài học này, có cơ hội thử nghiệm các mối quan hệ gia đình khác. Hãy cố gắng khám phá các kết nối mới giữa các thành viên trong cây gia đình. -## [Post-lecture quiz](https://ff-quizzes.netlify.app/en/ai/quiz/4) +## [Bài kiểm tra sau bài giảng](https://ff-quizzes.netlify.app/en/ai/quiz/4) ## Ôn tập & Tự học -Hãy nghiên cứu trên internet để khám phá các lĩnh vực mà con người đã cố gắng định lượng và mã hóa tri thức. Tìm hiểu về Bloom's Taxonomy, và quay lại lịch sử để học cách con người cố gắng hiểu thế giới của họ. Khám phá công trình của Linnaeus để tạo ra một hệ thống phân loại sinh vật, và quan sát cách Dmitri Mendeleev tạo ra một phương pháp để mô tả và nhóm các nguyên tố hóa học. Bạn có thể tìm thấy những ví dụ thú vị nào khác? +Hãy tìm hiểu trên internet để khám phá những lĩnh vực mà con người đã cố gắng định lượng và mã hóa kiến thức. Tìm hiểu về Phân loại học của Bloom, và quay ngược lại lịch sử xem con người từng cố gắng hiểu thế giới của họ như thế nào. Khám phá công trình của Linnaeus trong việc tạo ra một phân loại học các sinh vật, và quan sát cách Dmitri Mendeleev đã tạo ra phương pháp mô tả và nhóm các nguyên tố hóa học. Bạn có thể tìm thêm những ví dụ thú vị nào khác? **Bài tập**: [Xây dựng một Ontology](assignment.md) --- + +**Tuyên bố từ chối trách nhiệm**: +Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Văn bản gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thống. Đối với các thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm đối với bất kỳ sự hiểu lầm hay giải thích sai nào phát sinh từ việc sử dụng bản dịch này. + \ No newline at end of file