diff --git a/translations/mr/.co-op-translator.json b/translations/mr/.co-op-translator.json index 2df0757a..b41551fd 100644 --- a/translations/mr/.co-op-translator.json +++ b/translations/mr/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "mr" }, "README.md": { - "original_hash": "75fe3383afc51eaa84b82ace619ffea7", - "translation_date": "2026-02-06T07:55:30+00:00", + "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", + "translation_date": "2026-02-28T09:20:34+00:00", "source_file": "README.md", "language_code": "mr" }, @@ -89,6 +89,12 @@ "source_file": "lessons/1-Intro/assignment.md", "language_code": "mr" }, + "lessons/2-Symbolic/MSConceptGraph.ipynb": { + "original_hash": "e5690bbc6e5119a96a8172ec7261db67", + "translation_date": "2026-02-28T09:18:10+00:00", + "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", + "language_code": "mr" + }, "lessons/2-Symbolic/README.md": { "original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4", "translation_date": "2026-01-15T13:09:31+00:00", diff --git a/translations/mr/README.md b/translations/mr/README.md index 24fca9a2..b5614c9b 100644 --- a/translations/mr/README.md +++ b/translations/mr/README.md @@ -12,207 +12,215 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Artificial Intelligence for Beginners - A Curriculum +# सुरुवातीसाठी कृत्रिम बुद्धिमत्ता - एक अभ्यासक्रम |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| | AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -**कृत्रिम बुद्धिमत्ते**च्या (AI) जगाचा शोध घेण्यासाठी आमच्या 12 आठवड्यांच्या, 24-धड्यांच्या अभ्यासक्रमासह! यामध्ये व्यावहारिक धडे, क्विझ आणि लॅबचा समावेश आहे. हा अभ्यासक्रम नवशांकांसाठी सोप्पा आहे आणि त्यात TensorFlow आणि PyTorch सारख्या साधनांबरोबरच AI मधील नैतिकतेचा समावेश आहे. +**कृत्रिम बुद्धिमत्ता** (AI) च्या जगाचा १२ आठवड्यांचा, २४ धड्यांचा अभ्यासक्रम वापरून शोध घ्या! यात व्यावहारिक धडे, क्विझ आणि लॅब्सचा समावेश आहे. हा अभ्यासक्रम नवीन सुरुवातीसाठी उपयुक्त असून यात TensorFlow आणि PyTorch सारख्या साधनांचा समावेश असून AI मधील नैतिकतेवर देखील चर्चा केली आहे. ### 🌐 बहुभाषिक समर्थन -#### GitHub Action द्वारा समर्थित (स्वयंचलित आणि सदैव अद्ययावत) +#### GitHub Action द्वारे समर्थित (स्वयंचलित आणि नेहमी अद्ययावत) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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](./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)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-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](../vi/README.md) -> **स्थानिकरित्या क्लोन करायचे असल्यास?** - -> या संग्रहात 50+ भाषांचे भाषांतर समाविष्ट आहे जे डाउनलोड आकार लक्षणीयरीत्या वाढवते. भाषांतरांशिवाय क्लोन करण्यासाठी sparse checkout वापरा: +> **स्थानिकपणे क्लोन करायचे असल्यास?** +> +> या संचिकेमध्ये ५०+ भाषांतर समाविष्ट आहे ज्यामुळे डाउनलोड आकार मोठा होतो. भाषांतरांशिवाय क्लोन करण्यासाठी sparse checkout वापरा: +> +> **Bash / macOS / Linux:** > ```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' > ``` -> यामुळे आपण या कोर्सचे पूर्णपणे पालन करण्यासाठी आवश्यक सर्वकाही प्राप्त कराल आणि डाउनलोड देखील फार जलद होईल. +> +> **CMD (Windows):** +> ```cmd +> 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" +> ``` +> +> हे आपल्याला कोर्स पूर्ण करण्यासाठी आवश्यक असलेली सर्व काही सहज आणि जलद डाउनलोड करण्यास मदत करते. -**आपल्याला अतिरिक्त भाषांतरे हवी असल्यास ती येथे [अहे](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) दिली आहेत** +**आपल्याला अतिरिक्त भाषांतरांसाठी समर्थन पाहिजे असल्यास ते [येथे](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) दिलेले आहे** -## समुदायामध्ये सामील व्हा +## समुदायात सहभागी व्हा [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## आपण काय शिकणार आहात +## आपण काय शिकाल -**[कोर्सचा माईंडमॅप](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[कोर्सचा मनमांड नकाशा](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -या अभ्यासक्रमात आपण शिकाल: +या अभ्यासक्रमात आपण ते शिकाल: -* कृत्रिम बुद्धिमत्तेचे विविध दृष्टिकोन, ज्यात "चांगले जुने" प्रतीकात्मक दृष्टिकोन समाविष्ट आहे ज्यामध्ये **ज्ञान प्रतिनिधित्व** आणि तर्कशास्त्र समाविष्ट आहे ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))। -* **न्यूरल नेटवर्क्स** आणि **डीप लर्निंग**, जे आधुनिक AI चे मुख्य आधार आहेत. आम्ही या महत्त्वाच्या विषयांमागील संकल्पना दोन सर्वात लोकप्रिय फ्रेमवर्क्स - [TensorFlow](http://Tensorflow.org) आणि [PyTorch](http://pytorch.org) वापरून कोडद्वारे स्पष्ट करू. -* प्रतिमा आणि मजकूरावर काम करण्यासाठी **न्यूरल आर्किटेक्चर**. आम्ही अलीकडील मॉडेल्सवर चर्चा करू, पण काही प्रमाणात आत्ताच्या तंत्रज्ञानापेक्षा कमी असू शकते. -* कमी लोकप्रिय AI दृष्टिकोन, जसे की **जननिक अल्गोरिदम्स** आणि **मल्टी-एजंट सिस्टिम्स**. +* कृत्रिम बुद्धिमत्तेचे विविध दृष्टिकोन, ज्यामध्ये "गुड ओल्ड" प्रतीकात्मक दृष्टिकोनासह **ज्ञान सादरीकरण** आणि तर्कशास्त्र ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) समाविष्ट आहे. +* **न्यूरल नेटवर्क्स** आणि **डीप लर्निंग**, जे आधुनिक AI च्या मुख्य आधार आहेत. या महत्त्वाच्या विषयांचे संकल्पना दोन लोकप्रिय फ्रेमवर्क्स मध्ये कोड वापरून स्पष्ट करू - [TensorFlow](http://Tensorflow.org) आणि [PyTorch](http://pytorch.org). +* प्रतिमा आणि मजकूरावर काम करण्यासाठी **न्यूरल आर्किटेक्चर्स**. आम्ही अलीकडील मॉडेल्सवर चर्चा करू पण ते अत्याधुनिक पेक्षा थोडे कमी असू शकते. +* कमी लोकप्रिय AI दृष्टिकोन, जसे की **जेनिटिक अल्गोरिदम्स** आणि **मल्टि-एजंट सिस्टीम्स**. -हा अभ्यासक्रम काय कव्हर करणार नाही: +या अभ्यासक्रमात आपण काय कव्हर करणार नाही: -> [या कोर्ससाठी सर्व अतिरिक्त संसाधने इथे पाहा Microsoft Learn कलेक्शनमध्ये](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [या कोर्ससाठी सर्व अतिरिक्त संसाधने Microsoft Learn संग्रहात शोधा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* **व्यावसायिक उपयोगातील AI** चे व्यवसायिक प्रकरणे. कृपया [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) Microsoft Learn वर घेण्याचा विचार करा, किंवा [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), जे [INSEAD](https://www.insead.edu/) सोबत सहकार्याने विकसित केले आहे. -* **क्लासिक मशीन लर्निंग**, जे चांगल्या प्रकारे आमच्या [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) मध्ये स्पष्ट केले आहे. -* **[कोग्निटिव्ह सर्व्हिसेस](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** वापरून तयार केलेल्या व्यावहारिक AI अनुप्रयोगांसाठी. यासाठी आम्ही Microsoft Learn मधील [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** आणि इतर मॉड्यूल्सपासून सुरूवात करण्याची शिफारस करतो. -* विशिष्ट ML **क्लाउड फ्रेमवर्क्स**, जसे की [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), किंवा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [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) आणि [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) या शिक्षण मार्गांचा वापर करा. -* **संवादात्मक AI** आणि **चॅट बॉट्स**. यासाठी स्वतंत्र [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) शिकण्याचा मार्ग आहे, तसेच अधिक तपशीलांसाठी आपण [हा ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) बघू शकता. -* डीप लर्निंगच्या मागील **गहन गणितशास्त्र**. यासाठी आम्ही Ian Goodfellow, Yoshua Bengio आणि Aaron Courville यांच्या [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) या पुस्तकाची शिफारस करू, जे [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) वर ऑनलाइन उपलब्ध आहे. +* **AI इन बिझनेस** वापरण्याच्या व्यवसाय संदर्भांचा वापर. [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) या Microsoft Learn च्या शिक्षण मार्गाला किंवा [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ला विचार करा, जे [INSEAD](https://www.insead.edu/) यांच्या सहकार्याने विकसित केले आहे. +* **क्लासिक मशीन लर्निंग**, जी आमच्या [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) मध्ये चांगल्या प्रकारे वर्णन केलेली आहे. +* व्यावहारिक AI अनुप्रयोग जे **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** वापरून तयार केले गेले आहेत. यासाठी, आपण Microsoft Learn वर [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** आणि इतर मॉड्युल्ससह सुरू करणे शिफारसीय आहे. +* विशिष्ट ML **क्लाउड फ्रेमवर्क्स**, जसे की [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), किंवा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [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) आणि [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) या शिक्षण मार्गांचा वापर करण्याचा विचार करा. +* **सांभाळणी AI** आणि **चॅट बॉट्स**. यासाठी स्वतंत्र [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) या मार्गाचा वापर करा आणि अधिक तपशीलासाठी [हा ब्लॉग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) वाचा. +* डीप लर्निंगच्या मागील **गहन गणितशास्त्र**. यासाठी, Ian Goodfellow, Yoshua Bengio आणि Aaron Courville यांच्या [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) पुस्तकाची शिफारस केली जाते, जे ऑनलाइन देखील [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) वर उपलब्ध आहे. -_क्लाउडमधील AI_ विषयांसाठी सौम्य परिचयासाठी आपण [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) शिकण्याचा मार्ग घेऊ शकता. +_क्लाउडमधील AI_ विषयी सुरुवातीसाठी आपण [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) हा शिक्षण मार्ग घेण्याचा विचार करू शकता. # सामग्री -| | धडा लिंक | PyTorch/Keras/TensorFlow | लॅब | +| | धडा लिंक | PyTorch/Keras/TensorFlow | लॅब | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [कोर्स सेटअप](./lessons/0-course-setup/setup.md) | [विकास वातावरण सेटअप करा](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [कोर्स सेटअप](./lessons/0-course-setup/setup.md) | [आपले विकास वातावरण सेट करा](./lessons/0-course-setup/how-to-run.md) | | | I | [**AI परिचय**](./lessons/1-Intro/README.md) | | | -| 01 | [AI इतिहास आणि परिचय](./lessons/1-Intro/README.md) | - | - | -| II | **प्रतीकात्मक AI** | -| 02 | [ज्ञान प्रतिनिधित्व आणि तज्ञ प्रणाली](./lessons/2-Symbolic/README.md) | [तज्ञ प्रणाली](./lessons/2-Symbolic/Animals.ipynb) / [ऑन्टोलॉजी](./lessons/2-Symbolic/FamilyOntology.ipynb) /[संकल्पना ग्राफ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**न्यूरल नेटवर्क्सचे परिचय**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [पर्सेप्ट्रॉन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [लॅब](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [मल्टी-लेयर्ड पर्सेप्ट्रॉन आणि आपले स्वतःचे फ्रेमवर्क तयार करणे](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नोटबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [लॅब](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [फ्रेमवर्क्सचे परिचय (PyTorch/TensorFlow) आणि ओव्हरफिटिंग](./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) | [लॅब](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**कंप्युटर व्हिजन**](./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)| [मायक्रोसॉफ्ट अॅझ्यूर वर कंप्युटर व्हिजन एक्सप्लोर करा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [कंप्युटर व्हिजनचे परिचय. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नोटबुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [लॅब](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [कन्व्होल्यूशनल न्यूरल नेटवर्क्स](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चर्स](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [लॅब](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [पूर्व-प्रशिक्षित नेटवर्क्स आणि ट्रान्सफर लर्निंग](./lessons/4-ComputerVision/08-TransferLearning/README.md) आणि [ट्रेनिंग ट्रिक्स](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [लॅब](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 01 | [AI ची ओळख आणि इतिहास](./lessons/1-Intro/README.md) | - | - | +| II | **प्रतिनिधिक AI** | +| 02 | [ज्ञान प्रतिनिधित्व आणि तज्ञ प्रणाली](./lessons/2-Symbolic/README.md) | [तज्ञ प्रणाली](./lessons/2-Symbolic/Animals.ipynb) / [ऑन्टॉलॉजी](./lessons/2-Symbolic/FamilyOntology.ipynb) /[संकल्पना ग्राफ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**न्यूरल नेटवर्क्स परिचय**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [पर्सेप्ट्रॉन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नो्टबुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [प्रयोगशाळा](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [मल्टी-लेयर्ड पर्सेप्ट्रॉन आणि आपला स्वतःचा फ्रेमवर्क तयार करणे](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नो्टबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [प्रयोगशाळा](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [फ्रेमवर्क्सचा परिचय (PyTorch/TensorFlow) आणि ओव्हरफिटिंग](./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) | [प्रयोगशाळा](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**कंप्युटर दृष्टी**](./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)| [Microsoft Azure वर कंप्युटर दृष्टीचा अभ्यास करा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [कंप्युटर दृष्टी परिचय. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नो्टबुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [प्रयोगशाळा](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [कन्फोल्यूशनल न्यूरल नेटवर्क्स](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चर्स](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [प्रयोगशाळा](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [पूर्व-प्रशिक्षित नेटवर्क्स आणि ट्रान्सफर लर्निंग](./lessons/4-ComputerVision/08-TransferLearning/README.md) आणि [ट्रेनिंग ट्रिक्स](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाळा](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [ऑटोएन्कोडर्स आणि VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [जनरेटिव अ‍ॅडव्हर्सेरियल नेटवर्क्स आणि आर्टिस्टिक स्टाइल ट्रान्सफर](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [ऑब्जेक्ट डिटेक्शन](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [लॅब](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [सिमॅंटिक सेगमेंटेशन. 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 | [**नॅचरल लँग्वेज प्रोसेसिंग**](./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) | [मायक्रोसॉफ्ट अॅझ्यूर वर नॅचरल लँग्वेज प्रोसेसिंग एक्सप्लोर करा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [मॅत्र्या प्रतिनिधित्व. बोव/टीएफ-आयडीएफ](./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 | [सिमँटिक वर्ड एम्बेडिंग्ज. Word2Vec आणि 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 | [लँग्वेज मॉडेलिंग. आपले स्वतःचे एम्बेडिंग्ज ट्रेनिंग करा](./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) | [लॅब](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [रिकरंट न्यूरल नेटवर्क्स](./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 | [जनरेटिव रिकरंट नेटवर्क्स](./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) | [लॅब](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 10 | [जनरेटिव अ‍ॅडव्हर्सरियल नेटवर्क्स & आर्टिस्टिक स्टाइल ट्रान्सफर](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [ऑब्जेक्ट डिटेक्शन](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [प्रयोगशाळा](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [समानार्थी विभागणी. 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 | [**नैसर्गिक भाषा प्रक्रिया**](./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) | [Microsoft Azure वर नैसर्गिक भाषा प्रक्रिया एक्सप्लोर करा](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [टेक्स्ट प्रतिनिधित्व. बो/टीएफ-आयडीएफ](./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 | [समानार्थी शब्द एम्बेडिंग्ज. Word2Vec आणि 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 | [भाषा मॉडेलिंग. स्वतःचे एम्बेडिंग तयार करणे](./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) | [प्रयोगशाळा](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [रकरंट न्यूरल नेटवर्क्स](./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 | [जनरेटिव रकरंट नेटवर्क्स](./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) | [प्रयोगशाळा](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [ट्रान्सफॉर्मर्स. 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 | [नामांकित घटक ओळख (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) | [लॅब](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [मोठे भाषा मॉडेल्स, प्रॉम्प्ट प्रोग्रामिंग आणि काही-शॉट टास्क्स](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 19 | [नावांची एंटिटी रेकग्निशन](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [प्रयोगशाळा](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [मोठी भाषा मॉडेल्स, प्रॉम्प्ट प्रोग्रामिंग आणि फ्यू-शॉट टास्क](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **इतर AI तंत्रे** || | -| 21 | [जनुकीय अल्गोरिदम्स](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नोटबुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [डीप रीनफोर्समेंट लर्निंग](./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) | [लॅब](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [मल्टि-एजंट सिस्टम्स](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 21 | [जनुक अल्गोरिदम्स](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नो्टबुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [डीप रीनफोर्समेंट लर्निंग](./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) | [प्रयोगशाळा](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [मल्टी-एजंट सिस्टम्स](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI नैतिकता** | | | | 24 | [AI नैतिकता आणि जबाबदार AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: जबाबदार AI तत्त्वे](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **अतिरिक्त** | | | -| 25 | [मल्टी-मोडल नेटवर्क्स, CLIP आणि VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नोटबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [मल्टी-मॉडल नेटवर्क्स, CLIP आणि VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नो्टबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## प्रत्येक धडा यामध्ये असतो +## प्रत्येक धडा समाविष्ट करतो +* प्री-रीडिंग साहित्य +* कार्यान्वित जुपिटर नोटबुक्स, जे बहुधा फ्रेमवर्कला विशिष्ट असतात (**PyTorch** किंवा **TensorFlow**). कार्यान्वित नोटबुकमध्ये खूप सैद्धांतिक साहित्य सुद्धा असते, त्यामुळे विषय समजून घेण्यासाठी आपल्याला कमीतकमी एक आवृत्तीची नोटबुक (PyTorch किंवा TensorFlowपैकी कोणतीही) पाहणे आवश्यक आहे. +* काही विषयांसाठी उपलब्ध **लॅब्स**, ज्यामुळे आपण शीकलेले साहित्य विशिष्ट समस्येवर लागू करण्याचा प्रयत्न करू शकता. +* काही विभागांमध्ये संबंधित विषयांवर [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मॉड्यूल्ससाठी लिंक दिलेल्या आहेत. -* पूर्व-अभ्यास साहित्य -* एक्सिक्युटेबल जुपिटर नोटबुक्स, जे अनेकदा फ्रेमवर्कसाठी विशिष्ट असतात (**PyTorch** किंवा **TensorFlow**). एक्सिक्युटेबल नोटबुकमध्ये बराच सैद्धांतिक साहित्यही असते, त्यामुळे विषय समजून घेण्यासाठी तुम्हाला किमान एका नोटबुकची आवृत्ती (PyTorch किंवा TensorFlow) पाहणे आवश्यक आहे. -* काही विषयांसाठी **लॅब्स** उपलब्ध आहेत, जे तुम्हाला शिकलेल्या सामग्रीला विशिष्ट समस्येवर लागू करण्याचा संधी देतात. -* काही विभागांमध्ये [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मॉड्यूल्ससाठी लिंक्स असतात जे संबंधित विषयांचा आच्छादन देतात. +## सुरूवात करणे -## सुरुवात करण्यासाठी +### 🎯 AI मध्ये नवीन आहात? इथे प्रारंभ करा! -### 🎯 AI मध्ये नवखे आहात? येथे सुरु करा! +जर आपण पूर्णपणे AI मध्ये नवीन असाल आणि जलद, हस्तक्षेपात्मक उदाहरणे पाहू इच्छित असाल, तर आमचे [**प्रारंभिक-अनुकूल उदाहरणे**](./examples/README.md) तपासा! यात समाविष्ट आहेत: -जर तुम्ही AI मध्ये पूर्णपणे नवीन असाल आणि पटकन हाताळता येण्याजोगे उदाहरणे पाहू इच्छित असाल, तर आमचे [**नवशिक्या साठी सोपे उदाहरणे**](./examples/README.md) पाहा! यात समाविष्ट आहे: +- 🌟 **Hello AI World** - तुमचा पहिला AI प्रोग्राम (पॅटर्न ओळखणे) +- 🧠 **साधा न्यूरल नेटवर्क** - सुरुवातीपासून न्यूरल नेटवर्क तयार करा +- 🖼️ **इमेज क्लासिफायर** - सखोल टिप्पण्या सहित प्रतिमा वर्गीकरण +- 💬 **टेक्स्ट सेंटिमेंट** - सकारात्मक/नकारात्मक मजकूर विश्लेषण करा -- 🌟 **Hello AI World** - तुमचा पहिला AI प्रोग्राम (पॅटर्न रेकग्निशन) -- 🧠 **साधा न्यूरल नेटवर्क** - सुरुवातीपासून न्यूरल नेटवर्क तयार करा -- 🖼️ **प्रतिमा वर्गीकरणकर्ता** - सविस्तर टिप्पण्यासह प्रतिमा वर्गीकृत करा -- 💬 **मजकूर भावना** - सकारात्मक/नकारात्मक मजकूराचे विश्लेषण करा +हे उदाहरण AI संकल्पना समजून घेण्यासाठी आखलेले आहेत, पूर्ण अभ्यासक्रमात उतरायच्या आधी. -हे उदाहरणे पूर्ण अभ्यासक्रमात अति गडद उतरण्याआधी AI संकल्पना समजून घेण्यात आपल्याला मदत करण्यासाठी डिझाइन केली आहेत. +### 📚 पूर्ण अभ्यासक्रम सेटअप -### 📚 पूर्ण अभ्यासक्रम सेटअप +- आम्ही तुमच्या विकास वातावरणाच्या सेटअपसाठी एक [सेटअप धडा](./lessons/0-course-setup/setup.md) तयार केले आहे. - शिक्षकांसाठी, आम्ही तुम्हाला देखील एक [अभ्यासक्रम सेटअप धडा](./lessons/0-course-setup/for-teachers.md) तयार केला आहे! +- [VSCode किंवा Codespace मध्ये कोड कसा चालवायचा](./lessons/0-course-setup/how-to-run.md) -- आम्ही आपला विकास पर्यावरण सेटअप करण्यात मदत करण्यासाठी एक [सेटअप धडा](./lessons/0-course-setup/setup.md) तयार केला आहे. -- शिक्षकांसाठी आम्ही आपल्यासाठी एक [अभ्यासक्रम सेटअप धडा](./lessons/0-course-setup/for-teachers.md) देखील तयार केला आहे! -- VSCode किंवा Codespace मध्ये [कोड कसा चालवायचा](./lessons/0-course-setup/how-to-run.md) +हे पावले अनुसरा: -हे टप्पे पाळा: +रिपॉझिटरी फोर्क करा: या पानाच्या वरच्या-उजव्या कोपऱ्यातील "Fork" बटणावर क्लिक करा. -रिपॉझिटरी फोर्क करा: या पानाच्या वरच्या उजव्या कोपऱ्यातील "Fork" बटणावर क्लिक करा. +रिपॉझिटरी क्लोन करा: `git clone https://github.com/microsoft/AI-For-Beginners.git` -रिपॉझिटरी क्लोन करा: `git clone https://github.com/microsoft/AI-For-Beginners.git` +नंतर हे रिपॉ म्हणतादेखील (🌟) स्टार द्यायला विसरू नका. -नंतर सोप्या शोधासाठी या रेपोला स्टार (🌟) देणे विसरू नका. +## इतर शिकणाऱ्यांची भेट घ्या -## इतर शिकणाऱ्यांची भेट +या कोर्सला घेत असलेल्या इतर शिकणाऱ्यांशी भेटण्यासाठी आणि नेटवर्किंगसाठी आमच्या [अधिकृत AI Discord सर्व्हर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मध्ये सामील व्हा. -आमच्या [अधिकृत AI Discord सर्व्हर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मध्ये सामील व्हा आणि हा कोर्स करणाऱ्या इतर विद्यार्थ्यांना भेटा, नेटवर्क करा आणि मदत मिळवा. +बांधणी करताना तुमच्याकडे उत्पादनाबाबत अभिप्राय किंवा प्रश्न असतील तर आमच्या [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ला भेट द्या. -जर आपल्याकडे उत्पादनावर अभिप्राय किंवा प्रश्न असतील तर आमच्या [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) वर भेट द्या. +## क्विझ -## प्रश्नमंजुषा +> **क्विझबद्दल एक नोंद**: सर्व क्विझ `etc\quiz-app` फोल्डरमधील Quiz-app मध्ये आहेत, किंवा [ऑनलाइन येथे](https://ff-quizzes.netlify.app/) उपलब्ध आहेत. ते धड्यांमध्ये लिंक केलेले आहेत; क्विझ अॅप स्थानिकपणे किंवा Azure वर तैनात केला जाऊ शकतो; `quiz-app` फोल्डरमधील सूचनांचे पालन करा. क्विझ हळूहळू स्थानिकीकरण केले जात आहेत. -> **प्रश्नमंजुषेबद्दल एक नोंद:** सर्व प्रश्नमंजुषा etc\quiz-app या quiz-app फोल्डरमध्ये आहेत, किंवा [इथे ऑनलाइन](https://ff-quizzes.netlify.app/) पाहू शकता. त्या धड्यांमधून लिंक केल्या आहेत. प्रश्नमंजुषा अॅप स्थानिकपणे चालवू शकतो किंवा Azure वर तैनात केला जाऊ शकतो; `quiz-app` फोल्डरमधील सूचना पाळा. त्यांचे स्थानिकरण हळूहळू सुरू आहे. +## मदत हवी आहे -## मदत हवी आहे +आपल्याकडे सूचना असल्यास किंवा शब्दलेखन किंवा कोड त्रुटी आढळल्यास, एक इश्यू उघडा किंवा पुल विनंती तयार करा. -आपल्याकडे सूचना आहेत किंवा शब्द किंवा कोडमध्ये चुका सापडल्या का? कृपया इश्यू उघडा किंवा पुल विनंती तयार करा. +## विशेष धन्यवाद -## विशेष आभार +* **✍️ मुख्य लेखक:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **🔥 संपादक:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 स्केचनोट चित्रकार:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ क्विझ निर्माता:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 मुख्य योगदानकर्ते:** [Evgenii Pishchik](https://github.com/Pe4enIks) -* **✍️ मुख्य लेखक:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 संपादक:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 स्केचनोट चित्रकार:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ प्रश्नमंजुषा निर्माता:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 मुख्य योगदानकर्ते:** [Evgenii Pishchik](https://github.com/Pe4enIks) +## इतर अभ्यासक्रम -## इतर अभ्यासक्रम +आमचा संघ इतर अभ्यासक्रम तयार करतो! तपासा: -आमच्या टीमने इतर अभ्यासक्रम तयार केले आहेत! तपासा: + +### 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) +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) +--- - -### 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) -[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-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) +[![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) -### 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) -[![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) -[![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) +### 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) +[![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) -[![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) +### 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) +[![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) - +### 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) + -## मदत मिळविणे +## मदत घेणे -जर आपण अडकलात किंवा AI अॅप तयार करताना कोणतेही प्रश्न असतील तर आमच्या इतर शिकणाऱ्या आणि अनुभवी विकासकांसोबत MCP बद्दलच्या चर्चेत सामील व्हा. हे एक सहायक समुदाय आहे जिथे प्रश्न विचारले जातात आणि ज्ञान मुक्तपणे शेअर केले जाते. +जर आपण अडकलात किंवा AI अ‍ॅप्स तयार करताना कोणतेही प्रश्न असतील तर MCP विषयी चर्चांमध्ये सह-अभ्यासक आणि अनुभवी डेव्हलपर्सशी सामील व्हा. ही एक सहाय्यकारी समुदाय आहे जिथे प्रश्नांचे स्वागत आहे आणि ज्ञान मुक्तपणे सामायिक केले जाते. -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -जर उत्पादनाबद्दल अभिप्राय असेल किंवा तयार करताना त्रुटी असतील तर भेट द्या: +बांधणी करताना उत्पादनाबाबत अभिप्राय किंवा त्रुटी असल्यास भेट द्या: [![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) @@ -220,5 +228,5 @@ _क्लाउडमधील AI_ विषयांसाठी सौम् **अस्वीकरण**: -हा दस्तऐवज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून अनुवादित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपया लक्षात घ्या की स्वयंचलित अनुवादांमध्ये त्रुटी किंवा गैरसमज असू शकतात. मूळ दस्तऐवज त्याच्या स्थानिक भाषेत अधिकृत स्रोत मानला जातो. महत्त्वपूर्ण माहितीसाठी व्यावसायिक मानवी अनुवाद शिफारस केला जातो. या अनुवादाच्या वापरामुळे होणाऱ्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थग्रहणासाठी आम्ही जबाबदार नाही. +हा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) चा वापर करून भाषांतरित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपया ध्यानात घ्या की स्वयंचलित भाषांतरांमध्ये चुका किंवा अचूकता नसण्याची शक्यता असू शकते. मूळ दस्तऐवज त्याच्या स्थानिक भाषेत अधिकृत स्रोत मानला जावा. महत्वपूर्ण माहितीसाठी व्यावसायिक मानवी भाषांतर करण्याची शिफारस केली जाते. या भाषांतराच्या वापरामुळे होणाऱ्या कोणत्याही गैरसमजुती किंवा चुकीच्या समजुतीसाठी आम्ही जबाबदार नाही. \ No newline at end of file diff --git a/translations/mr/lessons/2-Symbolic/MSConceptGraph.ipynb b/translations/mr/lessons/2-Symbolic/MSConceptGraph.ipynb index 3b82ea92..b469c52f 100644 --- a/translations/mr/lessons/2-Symbolic/MSConceptGraph.ipynb +++ b/translations/mr/lessons/2-Symbolic/MSConceptGraph.ipynb @@ -1,539 +1,532 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## Microsoft Concept Graph - हा API आता उपलब्ध नाही, परंतु संकल्पना समजून घेण्यासाठी कृपया नोटबुक पहा\n", - "\n", - "[Microsoft Concept Graph](https://concept.research.microsoft.com/) ही इंटरनेटवरून संकलित केलेल्या संज्ञांची मोठी वर्गवारी आहे, ज्यामध्ये संकल्पनांमधील `is-a` संबंध आहेत.\n", - "\n", - "Context Graph दोन प्रकारांमध्ये उपलब्ध आहे:\n", - " * डाउनलोडसाठी मोठी मजकूर फाइल\n", - " * REST API\n", - "\n", - "आकडेवारी:\n", - " * 5401933 अद्वितीय संकल्पना,\n", - " * 12551613 अद्वितीय उदाहरणे\n", - " * 87603947 `is-a` संबंध\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## वेब सेवा वापरणे\n", - "\n", - "वेब सेवा विविध गटांमध्ये एखाद्या संकल्पनेची शक्यता अंदाज करण्यासाठी वेगवेगळ्या कॉल्स ऑफर करते. अधिक माहिती [येथे](https://concept.research.microsoft.com/Home/Api) उपलब्ध आहे. \n", - "कॉल करण्यासाठी नमुना URL येथे आहे: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import urllib\n", - "import json\n", - "\n", - "def http(x):\n", - " response = urllib.request.urlopen(x)\n", - " data = response.read()\n", - " return data.decode('utf-8')\n", - "\n", - "def query(x):\n", - " concept = x.lower().replace(' ', '_')\n", - " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", - " urllib.parse.quote(concept))\n", - " try:\n", - " result = json.loads(http(url))\n", - " except Exception:\n", - " return {}\n", - " edges = result.get('edges', [])\n", - " if not edges:\n", - " return {}\n", - " total_weight = sum(edge['weight'] for edge in edges)\n", - " if total_weight == 0:\n", - " return {}\n", - " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", - "\n", - "query('microsoft')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "चला बातम्यांच्या शीर्षकांना पालक संकल्पनांचा वापर करून वर्गीकृत करण्याचा प्रयत्न करूया. बातम्यांची शीर्षके मिळवण्यासाठी, आपण [NewsApi.org](http://newsapi.org) सेवा वापरू. ही सेवा वापरण्यासाठी तुम्हाला स्वतःचा API की मिळवावा लागेल - वेबसाइटवर जा आणि मोफत डेव्हलपर प्लॅनसाठी नोंदणी करा.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "newsapi_key = ''\n", - "def get_news(country='us'):\n", - " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", - " return res['articles']\n", - "\n", - "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", - " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", - " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", - " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", - " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", - " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", - " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", - " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", - " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", - " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", - " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", - " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", - " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", - " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", - " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", - " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", - " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", - " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", - " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", - " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", - " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", - " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", - " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", - " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", - " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", - " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", - " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", - " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", - " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", - " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", - " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", - " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", - " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", - " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_titles" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "सर्वप्रथम, आम्हाला बातम्यांच्या शीर्षकांमधून नामे काढता यावीत असे आम्हाला हवे आहे. यासाठी आम्ही `TextBlob` लायब्ररीचा वापर करू, जी अशा प्रकारच्या सामान्य NLP कार्यांना सोपे करते.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", - "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", - "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", - "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", - "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", - "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", - "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", - "Finished.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[nltk_data] Downloading package brown to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package brown is already up-to-date!\n", - "[nltk_data] Downloading package punkt to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package punkt is already up-to-date!\n", - "[nltk_data] Downloading package wordnet to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package wordnet is already up-to-date!\n", - "[nltk_data] Downloading package averaged_perceptron_tagger to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", - "[nltk_data] date!\n", - "[nltk_data] Downloading package conll2000 to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package conll2000 is already up-to-date!\n", - "[nltk_data] Downloading package movie_reviews to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package movie_reviews is already up-to-date!\n" - ] - } - ], - "source": [ - "import sys\n", - "!{sys.executable} -m pip install textblob\n", - "!{sys.executable} -m textblob.download_corpora\n", - "from textblob import TextBlob" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'covid-19 live updates': 1,\n", - " 'vaccines': 1,\n", - " 'boosters': 1,\n", - " 'york': 4,\n", - " 'ukrainians flee mariupol': 1,\n", - " 'forces push': 1,\n", - " 'port city': 1,\n", - " 'wall street journal': 3,\n", - " 'bond yields': 1,\n", - " 'futures rise': 1,\n", - " 'powell says fed': 1,\n", - " 'ready': 1,\n", - " 'be': 1,\n", - " 'aggressive': 1,\n", - " 'putin': 3,\n", - " 'alexei navalny': 2,\n", - " 'russian': 2,\n", - " 'supreme court nominee': 1,\n", - " 'ketanji brown jackson': 1,\n", - " \"confirmation hearing 's\": 1,\n", - " 'cnn': 1,\n", - " 'swedish': 1,\n", - " 'high school': 1,\n", - " 'abc': 1,\n", - " 'clues': 1,\n", - " 'covid-19': 1,\n", - " '’ s': 2,\n", - " 'moves': 1,\n", - " 'sewers': 1,\n", - " 'roll dice': 1,\n", - " 'jackson': 1,\n", - " 'decisions |': 1,\n", - " 'thehill': 1,\n", - " 'clear': 2,\n", - " 'chemical weapons': 2,\n", - " 'ukraine': 3,\n", - " 'claims president': 2,\n", - " 'biden': 2,\n", - " 'nasa': 2,\n", - " 'solar system': 2,\n", - " 'daily mail': 3,\n", - " 'us stocks': 1,\n", - " 'fed chair powell': 1,\n", - " \"'s remarks\": 1,\n", - " 'fox': 1,\n", - " \"'we 've\": 1,\n", - " 'tests': 1,\n", - " 'covid': 1,\n", - " 'politico': 1,\n", - " 'duchess': 1,\n", - " 'cambridge': 1,\n", - " 'swaps khaki jungle gear': 1,\n", - " 'vampire': 1,\n", - " 'wife': 1,\n", - " 'belize': 1,\n", - " 'china': 2,\n", - " 'flight recorders': 1,\n", - " 'plane crash': 1,\n", - " 'reuters': 2,\n", - " 'russian oligarch': 1,\n", - " 'abramovich': 1,\n", - " 'live': 1,\n", - " 'russia': 2,\n", - " 'stops talks': 1,\n", - " 'japan': 1,\n", - " 'español': 1,\n", - " 'powers remain': 1,\n", - " 'threats lurk': 1,\n", - " 'set': 1,\n", - " 'webb': 1,\n", - " 'telescope begins multi-instrument alignment': 1,\n", - " 'scitechdaily': 1,\n", - " 'uconn': 1,\n", - " 'ucf': 1,\n", - " 'ncaa': 1,\n", - " \"women 's tournament second-round highlights\": 1,\n", - " 'march madness': 1,\n", - " 'bucking republican trend': 1,\n", - " 'indiana': 1,\n", - " 'vetoes transgender': 1,\n", - " 'bill': 1,\n", - " 'maggie fox': 1,\n", - " 'coronation': 1,\n", - " 'shameless': 1,\n", - " \"'sudden accident\": 1,\n", - " 'mirror online': 1,\n", - " 'mirror': 2,\n", - " 'plane crash –': 1,\n", - " 'search': 1,\n", - " 'moment flight': 1,\n", - " 'daniel morgan': 1,\n", - " 'report condemns': 1,\n", - " 'met': 1,\n", - " 'guardian': 6,\n", - " 'rishi sunak': 1,\n", - " '’ s spring': 1,\n", - " 'statement': 1,\n", - " 'bbc.com': 1,\n", - " 'uk': 3,\n", - " 'ireland': 1,\n", - " 'euro': 1,\n", - " 'vladimir putin': 2,\n", - " \"'s 'lover\": 1,\n", - " 'brass eye': 1,\n", - " '’ s outtakes': 1,\n", - " 'brutal tv comedy': 1,\n", - " 'threatens civilians': 1,\n", - " 'mariupol': 1,\n", - " \"'s spirit\": 1,\n", - " 'shell u-turn': 1,\n", - " 'cambo': 1,\n", - " 'green targets': 1,\n", - " 'st helens': 1,\n", - " 'dog attack': 1,\n", - " 'girl': 1,\n", - " 'bbc': 1,\n", - " 'playstation': 1,\n", - " \"'assassin 's\": 1,\n", - " 'creed': 1,\n", - " 'jade raymond': 1,\n", - " 'haven studios': 1,\n", - " 'nme': 1,\n", - " 'nintendo switch': 1,\n", - " 'folders •': 1,\n", - " 'eurogamer.net': 2,\n", - " 'fa': 1,\n", - " 'solution ”': 1,\n", - " 'liverpool': 1,\n", - " 'fan group blasts “ shambolic ”': 1,\n", - " 'wembley': 1,\n", - " 'anfield': 1,\n", - " 'manchester': 1,\n", - " 'live erik': 1,\n", - " 'hag': 1,\n", - " 'utd': 1,\n", - " 'manager updates': 1,\n", - " 'manchester evening': 1,\n", - " 'inflation': 1,\n", - " 'government borrowing': 1,\n", - " 'february': 1,\n", - " 'crude oil': 1,\n", - " '– business': 1,\n", - " 'kremlin': 1,\n", - " 'large-scale fraud': 1,\n", - " 'sky': 1,\n", - " 'natural gas': 1,\n", - " 'gazprom': 1,\n", - " 'retail unit': 1,\n", - " 'insider': 1,\n", - " 'zaghari-ratcliffe': 1,\n", - " 'hunt': 1,\n", - " 'iran': 1,\n", - " 'debt payment': 1}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for n in TextBlob(x).noun_phrases:\n", - " if n in w:\n", - " w[n].append(x)\n", - " else:\n", - " w[n]=[x]\n", - "{ x:len(w[x]) for x in w.keys()}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "आम्ही पाहू शकतो की नामे आम्हाला मोठ्या थीमॅटिक गट देत नाहीत. चला नामे अधिक सामान्य संज्ञांनी बदलूया, ज्या संकल्पना ग्राफमधून प्राप्त केल्या आहेत. यासाठी काही वेळ लागेल, कारण आम्ही प्रत्येक नाम वाक्यांशासाठी REST कॉल करत आहोत.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for noun in TextBlob(x).noun_phrases:\n", - " terms = query(noun)\n", - " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", - " if term in w:\n", - " w[term].append(x)\n", - " else:\n", - " w[term]=[x]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'city': 9,\n", - " 'brand': 4,\n", - " 'place': 9,\n", - " 'town': 4,\n", - " 'factor': 4,\n", - " 'film': 4,\n", - " 'nation': 11,\n", - " 'state': 5,\n", - " 'person': 4,\n", - " 'organization': 5,\n", - " 'publication': 10,\n", - " 'market': 5,\n", - " 'economy': 4,\n", - " 'company': 6,\n", - " 'newspaper': 6,\n", - " 'relationship': 6}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ECONOMY:\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "\n", - "NATION:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", - "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", - "\n", - "PERSON:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" - ] - } - ], - "source": [ - "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", - "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", - "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n---\n\n**अस्वीकरण**: \nहा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित करण्यात आला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी, कृपया लक्षात ठेवा की स्वयंचलित भाषांतरांमध्ये त्रुटी किंवा अचूकतेचा अभाव असू शकतो. मूळ भाषेतील दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी, व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार राहणार नाही.\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.4 64-bit (conda)", - "metadata": { - "interpreter": { - "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" - } - }, - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.5" - }, - "coopTranslator": { - "original_hash": "7b3f1fc049371bcf8649ac9fefdf0413", - "translation_date": "2025-10-03T18:53:05+00:00", - "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", - "language_code": "mr" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "## संकल्पना ग्राफ वापरून ConceptNet\n", + "\n", + "> **टीप:** मूळ [Microsoft Concept Graph](https://concept.research.microsoft.com/) API आता उपलब्ध नाही. हा नोटबुक [ConceptNet](https://conceptnet.io/) वापरण्यासाठी अद्ययावत केला आहे, जे एक मुक्त उपलब्ध खुल्या ज्ञानाचे ग्राफ आहे ज्यामध्ये संकल्पनांमध्ये `is-a` सारखे संबंध असतात.\n", + "\n", + "[ConceptNet](https://conceptnet.io/) हा संकल्पनांचा एक मोठा अर्थज्ञानात्मक नेटवर्क आहे ज्यामध्ये `IsA`, `PartOf`, `UsedFor` आणि बरेच दुसरे संबंध आहेत. तो खालीलप्रमाणे उपलब्ध आहे:\n", + " * डाउनलोड करण्यायोग्य डेटा फाइल म्हणून\n", + " * REST API (कोणत्याही API कीशिवाय)\n", + "\n", + "ConceptNet आकडेवारी:\n", + " * 8 दशलक्षांहून अधिक नोड्स\n", + " * 83 भाषांमध्ये 21+ दशलक्ष एजेस\n" + ] }, - "nbformat": 4, - "nbformat_minor": 2 + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ConceptNet वेब सेवा वापरणे\n", + "\n", + "[ConceptNet](https://conceptnet.io/) संकल्पना यामधील `is-a` (IsA) संबंध तपासण्यासाठी REST API प्रदान करते. कोणतीही API की आवश्यक नाही.\n", + "म्हणून कॉल करण्यासाठी नमुना URL: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "import urllib\n", + "import json\n", + "\n", + "def http(x):\n", + " response = urllib.request.urlopen(x)\n", + " data = response.read()\n", + " return data.decode('utf-8')\n", + "\n", + "def query(x):\n", + " concept = x.lower().replace(' ', '_')\n", + " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", + " urllib.parse.quote(concept))\n", + " try:\n", + " result = json.loads(http(url))\n", + " except Exception:\n", + " return {}\n", + " edges = result.get('edges', [])\n", + " if not edges:\n", + " return {}\n", + " total_weight = sum(edge['weight'] for edge in edges)\n", + " if total_weight == 0:\n", + " return {}\n", + " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", + "\n", + "query('microsoft')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "चला बातम्या शीर्षकांना पालक संकल्पनांद्वारे वर्गीकृत करण्याचा प्रयत्न करूया. बातम्या शीर्षके मिळविण्यासाठी, आपण [NewsApi.org](http://newsapi.org) सेवा वापरणार आहोत. सेवा वापरण्यासाठी आपला स्वतःचा API की प्राप्त करणे आवश्यक आहे - वेबसाईटवर जा आणि मुक्त विकसक योजनेसाठी नोंदणी करा.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "newsapi_key = ''\n", + "def get_news(country='us'):\n", + " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", + " return res['articles']\n", + "\n", + "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", + " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", + " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", + " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", + " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", + " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", + " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", + " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", + " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", + " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", + " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", + " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", + " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", + " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", + " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", + " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", + " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", + " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", + " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", + " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", + " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", + " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", + " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", + " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", + " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", + " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", + " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", + " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", + " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", + " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", + " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", + " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", + " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", + " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_titles" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "सर्वप्रथम, आम्हाला बातम्यांच्या शीर्षकांमधून नामे काढता यावी अशी इच्छा आहे. यासाठी आम्ही `TextBlob` लायब्ररी वापरणार आहोत, जी अशा अनेक सामान्य NLP कार्यांना सोपं करतं.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", + "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", + "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", + "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", + "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", + "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", + "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", + "Finished.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[nltk_data] Downloading package brown to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package brown is already up-to-date!\n", + "[nltk_data] Downloading package punkt to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package punkt is already up-to-date!\n", + "[nltk_data] Downloading package wordnet to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package wordnet is already up-to-date!\n", + "[nltk_data] Downloading package averaged_perceptron_tagger to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", + "[nltk_data] date!\n", + "[nltk_data] Downloading package conll2000 to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package conll2000 is already up-to-date!\n", + "[nltk_data] Downloading package movie_reviews to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package movie_reviews is already up-to-date!\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install textblob\n", + "!{sys.executable} -m textblob.download_corpora\n", + "from textblob import TextBlob" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'covid-19 live updates': 1,\n", + " 'vaccines': 1,\n", + " 'boosters': 1,\n", + " 'york': 4,\n", + " 'ukrainians flee mariupol': 1,\n", + " 'forces push': 1,\n", + " 'port city': 1,\n", + " 'wall street journal': 3,\n", + " 'bond yields': 1,\n", + " 'futures rise': 1,\n", + " 'powell says fed': 1,\n", + " 'ready': 1,\n", + " 'be': 1,\n", + " 'aggressive': 1,\n", + " 'putin': 3,\n", + " 'alexei navalny': 2,\n", + " 'russian': 2,\n", + " 'supreme court nominee': 1,\n", + " 'ketanji brown jackson': 1,\n", + " \"confirmation hearing 's\": 1,\n", + " 'cnn': 1,\n", + " 'swedish': 1,\n", + " 'high school': 1,\n", + " 'abc': 1,\n", + " 'clues': 1,\n", + " 'covid-19': 1,\n", + " '’ s': 2,\n", + " 'moves': 1,\n", + " 'sewers': 1,\n", + " 'roll dice': 1,\n", + " 'jackson': 1,\n", + " 'decisions |': 1,\n", + " 'thehill': 1,\n", + " 'clear': 2,\n", + " 'chemical weapons': 2,\n", + " 'ukraine': 3,\n", + " 'claims president': 2,\n", + " 'biden': 2,\n", + " 'nasa': 2,\n", + " 'solar system': 2,\n", + " 'daily mail': 3,\n", + " 'us stocks': 1,\n", + " 'fed chair powell': 1,\n", + " \"'s remarks\": 1,\n", + " 'fox': 1,\n", + " \"'we 've\": 1,\n", + " 'tests': 1,\n", + " 'covid': 1,\n", + " 'politico': 1,\n", + " 'duchess': 1,\n", + " 'cambridge': 1,\n", + " 'swaps khaki jungle gear': 1,\n", + " 'vampire': 1,\n", + " 'wife': 1,\n", + " 'belize': 1,\n", + " 'china': 2,\n", + " 'flight recorders': 1,\n", + " 'plane crash': 1,\n", + " 'reuters': 2,\n", + " 'russian oligarch': 1,\n", + " 'abramovich': 1,\n", + " 'live': 1,\n", + " 'russia': 2,\n", + " 'stops talks': 1,\n", + " 'japan': 1,\n", + " 'español': 1,\n", + " 'powers remain': 1,\n", + " 'threats lurk': 1,\n", + " 'set': 1,\n", + " 'webb': 1,\n", + " 'telescope begins multi-instrument alignment': 1,\n", + " 'scitechdaily': 1,\n", + " 'uconn': 1,\n", + " 'ucf': 1,\n", + " 'ncaa': 1,\n", + " \"women 's tournament second-round highlights\": 1,\n", + " 'march madness': 1,\n", + " 'bucking republican trend': 1,\n", + " 'indiana': 1,\n", + " 'vetoes transgender': 1,\n", + " 'bill': 1,\n", + " 'maggie fox': 1,\n", + " 'coronation': 1,\n", + " 'shameless': 1,\n", + " \"'sudden accident\": 1,\n", + " 'mirror online': 1,\n", + " 'mirror': 2,\n", + " 'plane crash –': 1,\n", + " 'search': 1,\n", + " 'moment flight': 1,\n", + " 'daniel morgan': 1,\n", + " 'report condemns': 1,\n", + " 'met': 1,\n", + " 'guardian': 6,\n", + " 'rishi sunak': 1,\n", + " '’ s spring': 1,\n", + " 'statement': 1,\n", + " 'bbc.com': 1,\n", + " 'uk': 3,\n", + " 'ireland': 1,\n", + " 'euro': 1,\n", + " 'vladimir putin': 2,\n", + " \"'s 'lover\": 1,\n", + " 'brass eye': 1,\n", + " '’ s outtakes': 1,\n", + " 'brutal tv comedy': 1,\n", + " 'threatens civilians': 1,\n", + " 'mariupol': 1,\n", + " \"'s spirit\": 1,\n", + " 'shell u-turn': 1,\n", + " 'cambo': 1,\n", + " 'green targets': 1,\n", + " 'st helens': 1,\n", + " 'dog attack': 1,\n", + " 'girl': 1,\n", + " 'bbc': 1,\n", + " 'playstation': 1,\n", + " \"'assassin 's\": 1,\n", + " 'creed': 1,\n", + " 'jade raymond': 1,\n", + " 'haven studios': 1,\n", + " 'nme': 1,\n", + " 'nintendo switch': 1,\n", + " 'folders •': 1,\n", + " 'eurogamer.net': 2,\n", + " 'fa': 1,\n", + " 'solution ”': 1,\n", + " 'liverpool': 1,\n", + " 'fan group blasts “ shambolic ”': 1,\n", + " 'wembley': 1,\n", + " 'anfield': 1,\n", + " 'manchester': 1,\n", + " 'live erik': 1,\n", + " 'hag': 1,\n", + " 'utd': 1,\n", + " 'manager updates': 1,\n", + " 'manchester evening': 1,\n", + " 'inflation': 1,\n", + " 'government borrowing': 1,\n", + " 'february': 1,\n", + " 'crude oil': 1,\n", + " '– business': 1,\n", + " 'kremlin': 1,\n", + " 'large-scale fraud': 1,\n", + " 'sky': 1,\n", + " 'natural gas': 1,\n", + " 'gazprom': 1,\n", + " 'retail unit': 1,\n", + " 'insider': 1,\n", + " 'zaghari-ratcliffe': 1,\n", + " 'hunt': 1,\n", + " 'iran': 1,\n", + " 'debt payment': 1}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for n in TextBlob(x).noun_phrases:\n", + " if n in w:\n", + " w[n].append(x)\n", + " else:\n", + " w[n]=[x]\n", + "{ x:len(w[x]) for x in w.keys()}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "आपण पाहू शकतो की नामे आपल्याला मोठी थीमॅटिक गट देत नाहीत. चला नामांची जागी संकल्पना ग्राफमधून मिळालेली अधिक सामान्य संज्ञा वापरूया. यासाठी थोडा वेळ लागेल, कारण आपण प्रत्येक नामवाचक वाक्यांशासाठी REST कॉल करत आहोत.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for noun in TextBlob(x).noun_phrases:\n", + " terms = query(noun)\n", + " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", + " if term in w:\n", + " w[term].append(x)\n", + " else:\n", + " w[term]=[x]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'city': 9,\n", + " 'brand': 4,\n", + " 'place': 9,\n", + " 'town': 4,\n", + " 'factor': 4,\n", + " 'film': 4,\n", + " 'nation': 11,\n", + " 'state': 5,\n", + " 'person': 4,\n", + " 'organization': 5,\n", + " 'publication': 10,\n", + " 'market': 5,\n", + " 'economy': 4,\n", + " 'company': 6,\n", + " 'newspaper': 6,\n", + " 'relationship': 6}" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ECONOMY:\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "\n", + "NATION:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", + "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", + "\n", + "PERSON:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" + ] + } + ], + "source": [ + "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", + "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", + "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n\n\n**अस्वीकरण**:\nहा दस्तऐवज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून अनुवादित केला आहे. आम्ही अचूकतेसाठी प्रयत्नशील आहोत, परंतु कृपया लक्षात घ्या की स्वयंचलित अनुवादात चुका किंवा अचूकतेच्या त्रुटी असू शकतात. मूळ दस्तऐवज त्याच्या स्थानिक भाषेत अधिकृत स्रोत म्हणून गणला जाणे आवश्यक आहे. महत्त्वाच्या माहितीसाठी व्यावसायिक मानवी अनुवादाची शिफारस केली जाते. या अनुवादातील वापरामुळे उद्भवलेल्या कोणत्याही गोंधळ अथवा चुकीच्या समजुतीसाठी आम्ही जबाबदार नाही.\n\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.4 64-bit (conda)", + "metadata": { + "interpreter": { + "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" + } + }, + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 } \ No newline at end of file diff --git a/translations/ne/.co-op-translator.json b/translations/ne/.co-op-translator.json index d88cf7d0..c934357c 100644 --- a/translations/ne/.co-op-translator.json +++ b/translations/ne/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "ne" }, "README.md": { - "original_hash": "75fe3383afc51eaa84b82ace619ffea7", - "translation_date": "2026-02-06T07:57:29+00:00", + "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", + "translation_date": "2026-02-28T09:22:24+00:00", "source_file": "README.md", "language_code": "ne" }, @@ -89,6 +89,12 @@ "source_file": "lessons/1-Intro/assignment.md", "language_code": "ne" }, + "lessons/2-Symbolic/MSConceptGraph.ipynb": { + "original_hash": "e5690bbc6e5119a96a8172ec7261db67", + "translation_date": "2026-02-28T09:18:25+00:00", + "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", + "language_code": "ne" + }, "lessons/2-Symbolic/README.md": { "original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4", "translation_date": "2026-01-15T13:14:13+00:00", diff --git a/translations/ne/README.md b/translations/ne/README.md index 4db7b7e9..ff1ddddc 100644 --- a/translations/ne/README.md +++ b/translations/ne/README.md @@ -12,159 +12,167 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# सुरुक्ष्म बुद्धिमत्ता आरम्भकर्ताहरूका लागि - एउटा पाठ्यक्रम +# बिगिनरहरूका लागि कृत्रिम बुद्धिमत्ता - एक पाठ्यक्रम |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| -| सुरुक्ष्म बुद्धिमत्ता आरम्भकर्ताहरूका लागि - _स्केचनोट द्वारा [@girlie_mac](https://twitter.com/girlie_mac)_ | +| बिगिनरहरूका लागि AI - _स्केच नोट द्वारा [@girlie_mac](https://twitter.com/girlie_mac)_ | -हाम्रो १२ हप्ते, २४ पाठहरूको पाठ्यक्रमसँग **सुरुक्ष्म बुद्धिमत्ता** (AI) को संसार अन्वेषण गर्नुहोस्! यसमा व्यावहारिक पाठहरू, क्विजहरू, र ल्याबहरू समावेश छन्। पाठ्यक्रम आरम्भकर्ताहरुका लागि उपयुक्त छ र यसले TensorFlow र PyTorch जस्ता उपकरणहरू साथै AI मा नैतिकता समेट्छ। +हाम्रो १२-साता, २४-पाठको पाठ्यक्रमसँग **कृत्रिम बुद्धिमत्ता** (AI) को संसार अन्वेषण गर्नुहोस्! यसमा व्यावहारिक पाठहरू, क्विजहरू, र प्रयोगशालाहरू समावेश छन्। पाठ्यक्रम बिगिनर मैत्री छ र TensorFlow र PyTorch जस्ता उपकरणहरू साथै AI मा नैतिकता पनि समेट्छ। +### 🌐 बहु-भाषा समर्थन -### 🌐 बहुभाषी समर्थन - -#### GitHub Action द्वारा समर्थित (स्वचालित र सँधै अद्यावधिक) +#### GitHub कार्यद्वारा समर्थित (स्वचालित र सधैं अपडेट) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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](./README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-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](../vi/README.md) > **स्थानीय रूपमा क्लोन गर्न मन छ?** - -> यस रिपोजिटोरीमा ५०+ भाषा अनुवादहरू छन् जसले डाउनलोड साइजलाई महत्वपूर्ण रूपमा बढाउँछ। अनुवादहरू बिना क्लोन गर्न sparse checkout प्रयोग गर्नुहोस्: +> +> यस रिपोजिटोरिमा ५० भन्दा बढी भाषाका अनुवादहरू छन् जसले डाउनलोड साइजलाई धेरै बढाउँछ। बिना अनुवादहरू क्लोन गर्न, sparse checkout प्रयोग गर्नुहोस्: +> +> **Bash / macOS / Linux:** > ```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' > ``` -> यसले तपाईलाई छिटो डाउनलोडको साथ कोर्स पूरा गर्न आवश्यक सबै कुरा दिन्छ। +> +> **CMD (Windows):** +> ```cmd +> 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" +> ``` +> +> यसले तपाईंलाई कोर्स पूरा गर्न आवश्यक सबै कुरा छिटो डाउनलोड गराउन दिन्छ। -**यदि तपाईं थप अनुवाद भाषाहरू चाहनुहुन्छ भने ती [यहाँ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) सूचीकृत छन्।** +**थप भाषा अनुवादहरू समर्थन गर्न चाहनुहुन्छ भने ती यहाँ सूचीबद्ध छन् [यहाँ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## समुदायमा सामेल हुनुहोस् +## समुदायमा सहभागी हुनुहोस् [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## तपाईले के सिक्नुहुनेछ +## तपाईं के सिक्नुहुनेछ -**[पाठ्यक्रमको माईन्डम्याप](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[कोर्सको माइन्डम्याप](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -यस पाठ्यक्रममा, तपाईले सिक्नुहुनेछ: +यस पाठ्यक्रममा, तपाईंले सिक्नुहुनेछ: -* विभिन्न प्रकारका सुरुक्ष्म बुद्धिमत्ताका दृष्टिकोणहरू, जसमा "पुरानो राम्रो" प्रतीकात्मक दृष्टिकोण सहित **ज्ञान प्रतिनिधित्व** र तर्क ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))। -* **न्यूरल नेटवर्कहरू** र **गहिरो सिकाइ**, जुन आधुनिक AI को मुख्य आधार हुन्। हामी यसका महत्त्वपूर्ण विषयहरूको अवधारणा दुई लोकप्रिय फ्रेमवर्कहरू - [TensorFlow](http://Tensorflow.org) र [PyTorch](http://pytorch.org) मा कोड प्रयोग गरी देखाउनेछौं। -* छविहरू र पाठसँग काम गर्नका लागि **न्यूरल संरचनाहरू**। हामी हालका मोडेलहरू समेट्नेछौं तर सायद सबैभन्दा नयाँ अवस्थाको केही कमी हुन सक्छ। -* कम लोकप्रिय AI दृष्टिकोणहरू जस्तै **जेनेटिक एल्गोरिदमहरू** र **बहु-एजेन्ट प्रणालीहरू**। +* कृत्रिम बुद्धिमत्ताका विभिन्न दृष्टिकोणहरू, जसमा "पुरानो" प्रतीकात्मक दृष्टिकोण **ज्ञान प्रस्तुतीकरण** र तर्कसंगतता समेत समावेश छन् ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))। +* **न्यूरल नेटवर्कहरू** र **डिप लर्निंग**, जुन आधुनिक AI को केन्द्रमा छन्। हामी यसका महत्वपूर्ण अवधारणाहरू दुई लोकप्रिय फ्रेमवर्क प्रयोग गरेर देखाउनेछौं - [TensorFlow](http://Tensorflow.org) र [PyTorch](http://pytorch.org)। +* तस्बिर र पाठसँग काम गर्ने **न्यूरल आर्किटेक्चरहरू**। हामी भर्खरका मोडेलहरू समेट्नेछौं तर अत्याधुनिक हुन सक्दैन। +* कम लोकप्रिय AI दृष्टिकोणहरू, जस्तै **जेनेटिक एल्गोरिदमहरू** र **मल्टि-एजेन्ट प्रणालिहरू**। -यस पाठ्यक्रममा हामीले समेट्ने छैनौं: +यस पाठ्यक्रममा हामी के समेट्दैनौं: -> [यस कोर्सका लागि सबै थप स्रोतहरू हाम्रो Microsoft Learn संग्रहमा फेला पार्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [यस कोर्सका सबै अतिरिक्त स्रोतहरू हाम्रो Microsoft Learn सङ्ग्रहमा फेला पार्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* व्यावसायिक प्रयोगका लागि **व्यापारमा AI** केसहरू। Microsoft Learn मा [व्यापार प्रयोगकर्ताहरूका लागि AI परिचय](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग वा [AI व्यापार स्कूल](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) लिने सिफारिस गरिन्छ, जुन [INSEAD](https://www.insead.edu/) सँग सहकार्यमा विकास गरिएको हो। -* **क्लासिक मेशिन लर्निङ**, जसलाई हाम्रो [सुरुवातीहरूको लागि मेशिन लर्निङ पाठ्यक्रम](http://github.com/Microsoft/ML-for-Beginners) मा राम्रोसँग वर्णन गरिएको छ। -* व्यावहारिक AI अनुप्रयोगहरू जुन **[Cogntive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** प्रयोग गरेर बनाइएका छन्। यसका लागि, हामी Microsoft Learn का [दृष्टि](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [प्राकृत भाषा प्रसंस्करण](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI सेवा सँग जेनेरेटिभ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** र अन्य मोड्युलहरूबाट शुरू गर्न सिफारिस गर्छौं। -* विशेष एमएल **क्लाउड फ्रेमवर्कहरू**, जस्तै [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), वा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Azure Machine Learning सँग एमएल समाधान निर्माण र संचालन](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) र [Azure Databricks सँग एमएल समाधान निर्माण र संचालन](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्गहरू प्रयोग गर्ने विचार गर्नुहोस्। -* **संवादात्मक AI** र **च्याट बोटहरू**। यसका लागि अलग [संवादात्मक AI समाधानहरू सिर्जना गर्ने](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग छ, र थप विवरणका लागि [यो ब्लग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) पनि हेर्न सक्नुहुन्छ। -* गहिरो सिकाइ पछाडिको **गहिरो गणित**। यसका लागि, हामी Ian Goodfellow, Yoshua Bengio र Aaron Courville द्वारा लिखित [गहिरो सिकाइ](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) पुस्तक सिफारिस गर्छौं, जुन अनलाइन पनि उपलब्ध छ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) मा। +* **व्यवसायमा AI** को उपयोगका व्यापारिक केसहरू। Microsoft Learn मा [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) सिक्ने मार्ग, वा [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) जुन [INSEAD](https://www.insead.edu/) सँग सहकार्यमा विकास गरिएको छ, लिनुहोस्। +* **क्लासिक मेशिन लर्निंग**, जुन हाम्रो [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) मा राम्रोसँग वर्णित छ। +* व्यावहारिक AI अनुप्रयोगहरू जुन **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** प्रयोग गरेर बनेका छन्। यसको लागि, हामी Microsoft Learn का मोड्युलहरू जस्तै [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** र अरू सिफारिस गर्छौं। +* विशिष्ट ML **क्लाउड फ्रेमवर्कहरू**, जस्तै [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) वा [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [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) र [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) सिक्ने मार्गहरू प्रयोग गर्न सुझाव दिइन्छ। +* **संवादात्मक AI** र **च्याट बोटहरू**। यसका लागि अलग [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) सिक्ने मार्ग छ, र थप विवरणका लागि [यो ब्लग पोस्ट](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) पनि हेर्न सक्नुहुन्छ। +* गहिरो सिकाइ पछाडिको **गहिरो गणित**। यसको लागि, हामी Ian Goodfellow, Yoshua Bengio र Aaron Courville को [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) सिफारिस गर्छौं, जुन अनलाइन [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) मा पनि उपलब्ध छ। -_क्लाउडमा AI_ विषयहरूमा सौम्य परिचयको लागि तपाईंले [Azure मा सुरुक्ष्म बुद्धिमत्तासँग शुरुवात](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) सिकाइ मार्ग लिन विचार गर्न सक्नुहुन्छ। +_एआई इन द क्लाउड_ विषयहरूमा सजिलो परिचयको लागि [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) सिक्ने मार्ग लिन सक्नुहुन्छ। # सामग्री -| | पाठ लिंक | PyTorch/Keras/TensorFlow | ल्याब | +| | पाठ लिंक | PyTorch/Keras/TensorFlow | प्रयोगशाला | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [कोर्स सेटअप](./lessons/0-course-setup/setup.md) | [तपाईंको विकास वातावरण सेटअप गर्ने](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [पाठ्यक्रम सेटअप](./lessons/0-course-setup/setup.md) | [आफ्नो विकास वातावरण सेटअप गर्नुहोस्](./lessons/0-course-setup/how-to-run.md) | | | I | [**AI परिचय**](./lessons/1-Intro/README.md) | | | | 01 | [AI को परिचय र इतिहास](./lessons/1-Intro/README.md) | - | - | | II | **प्रतीकात्मक AI** | | 02 | [ज्ञान प्रतिनिधित्व र विशेषज्ञ प्रणालीहरू](./lessons/2-Symbolic/README.md) | [विशेषज्ञ प्रणालीहरू](./lessons/2-Symbolic/Animals.ipynb) / [ओन्टोलोजी](./lessons/2-Symbolic/FamilyOntology.ipynb) /[धारणा ग्राफ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**न्यूरल नेटवर्कमा परिचय**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [पर्सेप्ट्रोन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नेटबुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [लैब](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [मल्टि-लेयर्ड पर्सेप्ट्रोन र हाम्रो आफ्नै फ्रेमवर्क बनाउने](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नेटबुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [लैब](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [फ्रेमवर्कहरूको परिचय (PyTorch/TensorFlow) र ओभरफिटिंग](./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) | [लैब](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**कम्प्युटर भिजन**](./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)| [माइक्रोसफ्ट अजुरमा कम्प्युटर भिजन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [कम्प्युटर भिजन परिचय। OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नेटबुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [लैब](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [कन्भोल्युसनल न्यूरल नेटवर्कहरू](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चर्स](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [लैब](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [प्री-ट्रेन्ड नेटवर्कहरू र ट्रान्सफर लर्निंग](./lessons/4-ComputerVision/08-TransferLearning/README.md) र [ट्रेनिंग ट्रिक्स](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [लैब](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [अटोएन्कोडरहरू र VAE हरु](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [जनरेटिभ एड्भर्सेरियल नेटवर्कहरू & कलात्मक शैली ट्रान्सफर](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [वस्तु पहिचान](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [लैब](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [सिमान्टिक सेग्मेन्टेसन। 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 | [**प्राकृतिक भाषा प्रशोधन**](./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) | [माइक्रोसफ्ट अजुरमा प्राकृतिक भाषा प्रशोधन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [पाठ प्रतिनिधित्व। बो/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 | [सिमान्टिक शब्द एम्बेडिङहरू। Word2Vec र 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 | [भाषा मोडेलिङ। आफ्नै एम्बेडिङहरू प्रशिक्षण](./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) | [लैब](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [रिकरन्ट न्यूरल नेटवर्कहरू](./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 | [जनरेटिभ रिकरन्ट नेटवर्कहरू](./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) | [लैब](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [ट्रान्सफर्मरहरू। 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 | [नामित इकाई मान्यता](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [लैब](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [ठूला भाषा मोडेलहरू, प्रॉम्प्ट प्रोग्रामिङ र फ्यु-शट टास्कहरू](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| III | [**न्यूरल नेटवर्कहरूमा परिचय**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [पर्सेप्ट्रोन](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [नोभुक](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [बहु-परत पर्सेप्ट्रोन र हाम्रो आफ्नै फ्रेमवर्क सिर्जना गर्दै](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [नोभुक](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [फ्रेमवर्कहरूमा परिचय (पाइटच/टेन्सरफ्लो) र ओभरफिटिङ](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [पाइटच](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [किरास](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [टेन्सरफ्लो](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**कम्प्युटर भिजन**](./lessons/4-ComputerVision/README.md) | [पाइटच](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [टेन्सरफ्लो](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [माइक्रोसफ्ट एजुरमा कम्प्युटर भिजन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [कम्प्युटर भिजनमा परिचय। OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [नोभुक](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [कन्भोलुसनल न्यूरल नेटवर्कहरू](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN आर्किटेक्चरहरू](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [पाइटच](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[टेन्सरफ्लो](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [पूर्व-प्रशिक्षित नेटवर्कहरू र ट्रान्सफर लर्निङ](./lessons/4-ComputerVision/08-TransferLearning/README.md) र [प्रशिक्षण तरिकाहरू](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [पाइटच](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [टेन्सरफ्लो](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [अटोइनकोडरहरू र VAEहरू](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [पाइटच](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [टेन्सरफ्लो](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [जनरेटिभ एड्भर्सेरियल नेटवर्कहरू र कलात्मक शैली स्थानान्तरण](./lessons/4-ComputerVision/10-GANs/README.md) | [पाइटच](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [टेन्सरफ्लो](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [वस्तु पहिचान](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [टेन्सरफ्लो](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [प्रयोगशाला](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [सेम्यान्टिक सेगमेन्टेशन। U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [पाइटच](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [टेन्सरफ्लो](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**प्राकृतिक भाषा प्रसोधन**](./lessons/5-NLP/README.md) | [पाइटच](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[टेन्सरफ्लो](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [माइक्रोसफ्ट एजुरमा प्राकृतिक भाषा प्रसोधन अन्वेषण गर्नुहोस्](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [पाठ प्रतिनिधित्व। बो / TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [सेम्यान्टिक शब्द एम्बेडिङहरू। Word2Vec र GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [भाषा मोडलिङ। आफ्नै एम्बेडिङहरू प्रशिक्षण गर्नुहोस्](./lessons/5-NLP/15-LanguageModeling/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [रिकरन्ट न्यूरल नेटवर्कहरू](./lessons/5-NLP/16-RNN/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [जनरेटिभ रिकरन्ट नेटवर्कहरू](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [ट्रान्सफर्मरहरू। BERT।](./lessons/5-NLP/18-Transformers/README.md) | [पाइटच](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[टेन्सरफ्लो](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [नामित इकाई पहिचान](./lessons/5-NLP/19-NER/README.md) | [टेन्सरफ्लो](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [प्रयोगशाला](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [ठूला भाषा मोडलहरू, प्रॉम्प्ट प्रोग्रामिङ र थोरै-शट कार्यहरू](./lessons/5-NLP/20-LangModels/README.md) | [पाइटच](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **अन्य AI प्रविधिहरू** || | -| 21 | [जेनेटिक एल्गोरिदमहरू](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नेटबुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [डीप रिइन्फोर्समेन्ट लर्निंग](./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) | [लैब](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [मल्टि-एजेन्ट सिस्टमहरू](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI नीतिशास्त्र** | | | -| 24 | [AI नीतिशास्त्र र जिम्मेवार AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: जिम्मेवार AI सिद्धान्तहरू](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **थप सामग्रीहरू** | | | -| 25 | [मल्टि-मोडल नेटवर्कहरू, CLIP र VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नेटबुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 21 | [जेनेटिक एल्गोरिदमहरू](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [नोभुक](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [डीप रिइन्फोर्समेन्ट लर्निङ](./lessons/6-Other/22-DeepRL/README.md) | [पाइटच](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[टेन्सरफ्लो](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [प्रयोगशाला](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [बहु-एजेण्ट प्रणालीहरू](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI नैतिकता** | | | +| 24 | [AI नैतिकता र जिम्मेवार AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: जिम्मेवार AI सिद्धान्तहरू](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **थपहरू** | | | +| 25 | [बहु-मोडल नेटवर्कहरू, CLIP र VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [नोभुक](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## प्रत्येक पाठमा समावेश छन् - -* पूर्व-पढ्ने सामग्री -* क्रियाशील जुपिटर नोटबुकहरू, जुन प्राय: फ्रेमवर्कसँग सम्बन्धित हुन्छन् (**PyTorch** वा **TensorFlow**). क्रियाशील नोटबुकमा धेरै सैद्धान्तिक सामग्री पनि हुन्छ, त्यसैले विषय बुझ्नका लागि नोटबुकको कम्तिमा एक संस्करण (PyTorch वा TensorFlow) हेर्न आवश्यक छ। -* केहि विषयहरूको लागि **लैबहरू**, जसले तपाईंले सिकेको सामग्रीलाई विशेष समस्यामा प्रयोग गर्न अवसर दिन्छ। -* केही भागहरूमा सम्बन्धित विषयहरूको लागि [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मोड्युलहरूको लिङ्कहरू छन्। +## प्रत्येक पाठमा समावेश छ +* पूर्व-पठन सामग्री +* कार्यान्वयन योग्य Jupyter नोटबुकहरू, जुन प्रायः फ्रेमवर्क विशेष ( **PyTorch** वा **TensorFlow**) सँग सम्बन्धित हुन्छन्। कार्यान्वयन योग्य नोटबुकमा थुप्रै सैद्धान्तिक सामग्री पनि समावेश हुन्छ, त्यसैले विषयलाई बुझ्नका लागि कम्तीमा एउटा संस्करणको नोटबुक (PyTorch वा TensorFlow कुनै एक) अवश्य अध्ययन गर्नु पर्छ। +* केही विषयहरूका लागि उपलब्ध **प्रयोगशालाहरू**, जसले तपाईँले सिकेको सामग्रीलाई विशेष समस्यामा लागू गर्ने मौका दिन्छ। +* केहि खण्डहरूमा [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) मोड्युलहरूका लिङ्कहरू छन् जसले सम्बन्धित विषयहरू सम्बोधित गर्छन्। ## सुरु गर्ने तरिका -### 🎯 AI मा नयाँ? यहाँबाट सुरु गर्नुहोस्! +### 🎯 एआईमा नयाँ? यहाँबाट सुरु गर्नुहोस्! -यदि तपाईं पूर्ण रूपमा AI मा नयाँ हुनुहुन्छ र छिटो, व्यवहारिक उदाहरणहरू खोज्दै हुनुहुन्छ भने, हाम्रो [**शुरुआती-मित्र उदाहरणहरू**](./examples/README.md) हेर्नुहोस्! यसमा समावेश छन्: +यदि तपाईं पुरै नयाँ हुनुहुन्छ र छिटो, व्यावहारिक उदाहरणहरू खोज्दै हुनुहुन्छ भने, हाम्रा [**शुरुआती-अनुकूल उदाहरणहरू**](./examples/README.md) मा हेर्नुहोस्! यीमा समावेश छन्: -- 🌟 **Hello AI World** - तपाईंको पहिलो AI प्रोग्राम (प्याटर्न मान्यता) -- 🧠 **साधारण न्यूरल नेटवर्क** - न्यूरल नेटवर्क स्क्र्याचबाट बनाउनुहोस् -- 🖼️ **छवि वर्गीकारक** - विस्तृत टिप्पणीहरूसहित छविहरू वर्गीकरण गर्नुहोस् -- 💬 **पाठ भावना** - सकारात्मक/नकारात्मक पाठ विश्लेषण गर्नुहोस् +- 🌟 **Hello AI World** - तपाईँको पहिलो AI कार्यक्रम (ढाँचा पहिचान) +- 🧠 **सजिलो न्यूरल नेटवर्क** - शून्यबाट न्यूरल नेटवर्क बनाउने +- 🖼️ **छवि वर्गीकरणकर्ता** - टिप्पणी सहित छविहरू वर्गीकृत गर्ने +- 💬 **पाठ भावना विश्लेषण** - सकारात्मक/नकारात्मक पाठ विश्लेषण -यी उदाहरणहरूले पूर्ण पाठ्यक्रममा डुब्नुअघि तपाईंलाई AI अवधारणाहरू बुझ्न मद्दत गर्न डिजाइन गरिएको हो। +यी उदाहरणहरूले पूर्ण पाठ्यक्रममा प्रवेश गर्नु भन्दा पहिले AI अवधारणाहरू बुझ्न सहयोग पुर्‍याउँछन्। ### 📚 पूर्ण पाठ्यक्रम सेटअप -- हामीले तपाईंलाई विकास वातावरण सेटअप गर्न मद्दत गर्न [सेटअप पाठ](./lessons/0-course-setup/setup.md) सिर्जना गरेका छौं। - शिक्षकहरूका लागि, हामीले तपाईंको लागि पनि [पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) तयार पारेका छौं! -- VSCode वा Codespace मा कोड कसरी चलाउने [यहाँ जानुहोस्](./lessons/0-course-setup/how-to-run.md) +- तपाईंको विकास वातावरण सेटअप गर्न सहयोग गर्न हामीले [सेटअप पाठ](./lessons/0-course-setup/setup.md) तयार पारेका छौं। - शिक्षकहरूका लागि पनि हामीले [शिक्षकहरूका लागि पाठ्यक्रम सेटअप पाठ](./lessons/0-course-setup/for-teachers.md) तयार पारेका छौं! +- VSCode वा Codespace मा कोड कसरी चलाउने [यहाँ हेर्नुहोस्](./lessons/0-course-setup/how-to-run.md) -यी चरणहरू पालना गर्नुहोस्: +यी चरणहरू अनुसरण गर्नुहोस्: -रिपोजिटोरी फोर्क गर्नुहोस्: यो पृष्ठको माथि-दायाँ कुनामा "Fork" बटनमा क्लिक गर्नुहोस्। +रेक्खा अनुकृति (फोर्क) गर्नुहोस्: यो पृष्ठको माथि-दायाँ कुनामा रहेको "Fork" बटनमा क्लिक गर्नुहोस्। -रिपोजिटोरी क्लोन गर्नुहोस्: `git clone https://github.com/microsoft/AI-For-Beginners.git` +रेक्खा क्लोन गर्नुहोस्: `git clone https://github.com/microsoft/AI-For-Beginners.git` -भविष्यमा सजिलै फेला पार्न यो रिपोमा स्टार (🌟) दिन नबिर्सनुहोस्। +त्यसलाई पछि सजिलै फेला पार्न यस रिपोजिटरीलाई स्टार (🌟) दिन नबिर्सनुहोस्। -## अन्य सिक्नेहरूलाई भेट्नुहोस् +## अन्य सिक्नेहरूलाई भेट्नुस् -यो कोर्स गर्दै गरेका अरू सिक्नेहरूसँग भेट्न र नेटवर्किङ गर्न हाम्रो [आधिकारिक AI डिस्कोर्ड सर्भर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मा सामेल हुनुहोस् र सहयोग प्राप्त गर्नुहोस्। +यस कोर्समा संलग्न अरू सिक्नेहरूसँग भेटघाट र नेटवर्क बनाउन हाम्रो [औपचारिक AI Discord सर्भर](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) मा सामेल हुनुहोस् र सहयोग लिनुहोस्। -यदि तपाईंलाई उत्पादन फिडब्याक वा प्रश्नहरू छन् भने हाम्रो [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) मा जानुहोस्। +निर्माण गर्ने क्रममा यदि तपाईंलाई उत्पादन प्रतिपुष्टि वा प्रश्न छ भने हाम्रो [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) भ्रमण गर्नुहोस्। -## कुइजहरू +## प्रश्नोत्तरी -> **कुइजहरू सम्बन्धी नोट**: सबै कुइजहरू Quiz-app फोल्डरमा etc\quiz-app, वा [अनलाइन यहाँ](https://ff-quizzes.netlify.app/) राखिएका छन्। यी पाठहरूमध्ये लिंक गरिएको छ। कुइज एप्लिकेसन स्थानीय रूपमा चलाउन वा Azure मा डिप्लोय गर्न सकिन्छ; त्यसका लागि `quiz-app` फोल्डरमा निर्देशहरू पछ्याउनुहोस्। ती क्रमशः स्थानीय भाषामा अनुवाद भइरहेका छन्। +> **प्रश्नोत्तरी सम्बन्धी नोट**: सबै प्रश्नोत्तरीहरू Quiz-app फोल्डरमा आदि\quiz-appमा राखिएका छन्, वा [अनि अनलाइन यहाँ](https://ff-quizzes.netlify.app/) उपलब्ध छन्। तिनीहरूलाई पाठ्यक्रम भित्र लिङ्क गरिएको छ; प्रश्नोत्तरी एप स्थानीय रूपमा चलाउन वा Azure मा तैनाथ गर्न सकिन्छ; `quiz-app` फोल्डरमा रहेको निर्देशनहरू अनुसरण गर्नुहोस्। तिनीहरू क्रमशः स्थानीय भाषामा पनि उपलब्ध हुँदैछन्। -## सहयोग चाहिन्छ +## सहयोगको अभाव -के तपाईंसँग सुझावहरू छन् वा वर्तनी वा कोडमा त्रुटि पाउनुभएको छ? समस्या उठाउनुहोस् वा पुल अनुरोध सिर्जना गर्नुहोस्। +के तपाईं सल्लाह दिन चाहनुहुन्छ वा वर्तनी वा कोड त्रुटिहरू भेट्टाउनुभयो? कृपया एक समस्या उठाउनुहोस् वा पुल अनुरोध सिर्जना गर्नुहोस्। ## विशेष धन्यवाद -* **✍️ प्रमुख लेखक:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ मुख्य लेखक:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 सम्पादक:** [Jen Looper](https://twitter.com/jenlooper), PhD * **🎨 स्केचनोट चित्रकार:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ कुइज निर्माता:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 मुख्य योगदानकर्ताहरू:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✅ प्रश्नोत्तरी निर्धारक:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 मुख्य योगदानकर्ता:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## अन्य पाठ्यक्रमहरू -हाम्रो टिमले अन्य पाठ्यक्रमहरू पनि उत्पादन गर्दछ! हेर्नुस्: +हाम्रो टोलीले अन्य पाठ्यक्रमहरू पनि निर्माण गर्दछ! हेर्नुहोस्: ### LangChain @@ -206,13 +214,13 @@ _क्लाउडमा AI_ विषयहरूमा सौम्य पर [![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) -## सहयोग प्राप्त गर्नुहोस् +## मद्दत कसरी पाउने -यदि तपाईं अलमल्लमा परिरहनु भएको छ वा AI एपहरू निर्माण गर्दा कुनै प्रश्न छ भने, MCP सम्बन्धी छलफलमा सहभागी हुने सिक्नेहरू र अनुभवी विकासकर्ताहरूलाई भेट्नुहोस्। यो एउटा सहयोगी समुदाय हो जहाँ प्रश्नहरू स्वागत योग्य छन् र ज्ञान स्वतन्त्र रूपमा साझा गरिन्छ। +यदि तपाईं अड्किनु भयो वा AI एप्स बनाउने क्रममा कुनै प्रश्न छ भने, MCP सम्बन्धी छलफलमा साथी सिक्नेहरू र अनुभवी विकासकर्ताहरूको समूहमा सामेल हुनुहोस्। यो सहयोगी समुदाय हो जहाँ प्रश्नहरू स्वागत योग्य छन् र ज्ञान स्वतन्त्र रूपमा साझा गरिन्छ। [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -यदि तपाईंलाई उत्पादनमा फिडब्याक वा त्रुटिहरू छन् भने: +निर्माण गर्ने क्रममा उत्पादन प्रतिपुष्टि वा त्रुटि भएमा भ्रमण गर्नुहोस्: [![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) @@ -220,5 +228,5 @@ _क्लाउडमा AI_ विषयहरूमा सौम्य पर **अस्वीकरण**: -यो दस्तावेज AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरी अनुवाद गरिएको हो। हामी शुद्धताको प्रयास गर्दछौं, तर कृपया बुझ्नुहोस् कि स्वचालित अनुवादमा त्रुटि वा असङ्गतिहरू हुन सक्छन्। मूल दस्तावेज यसको मूल भाषामा आधिकारिक स्रोत मानिन्छ। महत्वपूर्ण जानकारीका लागि, पेशेवर मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा भ्रान्तिका लागि हामी जिम्मेवार छैनौं। +यो कागजात [Co-op Translator](https://github.com/Azure/co-op-translator) नामक एआई अनुवाद सेवा प्रयोग गरी अनुवाद गरिएको हो। हामी शुद्धताका लागि प्रयासरत छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धता हुन सक्नेछ। मूल भाषामा रहेको कागजातलाई मूल अधिकारिक स्रोतको रूपमा मान्नुपर्छ। महत्वपूर्ण जानकारीका लागि व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न कुनै पनि गलतफहमी वा गलत व्याख्यामा हामी जिम्मेवार हुनेछैनौं। \ No newline at end of file diff --git a/translations/ne/lessons/2-Symbolic/MSConceptGraph.ipynb b/translations/ne/lessons/2-Symbolic/MSConceptGraph.ipynb index df7e7893..ea8d6700 100644 --- a/translations/ne/lessons/2-Symbolic/MSConceptGraph.ipynb +++ b/translations/ne/lessons/2-Symbolic/MSConceptGraph.ipynb @@ -1,538 +1,532 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## माइक्रोसफ्ट कन्सेप्ट ग्राफ - यो API अब उपलब्ध छैन तर कृपया नोटबुक हेर्नुहोस् अवधारणा बुझ्नको लागि\n", - "\n", - "[माइक्रोसफ्ट कन्सेप्ट ग्राफ](https://concept.research.microsoft.com/) इन्टरनेटबाट खनन गरिएका शब्दहरूको ठूलो वर्गीकरण हो, जसमा अवधारणाहरू बीच `is-a` सम्बन्धहरू छन्।\n", - "\n", - "कन्टेक्स्ट ग्राफ दुई प्रकारमा उपलब्ध छ:\n", - " * डाउनलोडको लागि ठूलो पाठ फाइल\n", - " * REST API\n", - "\n", - "तथ्यांक:\n", - " * 5401933 अद्वितीय अवधारणाहरू,\n", - " * 12551613 अद्वितीय उदाहरणहरू\n", - " * 87603947 `is-a` सम्बन्धहरू\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## वेब सेवा प्रयोग गर्दै\n", - "\n", - "वेब सेवाले विभिन्न समूहहरूमा कुनै अवधारणाको सम्भाव्यता अनुमान गर्न विभिन्न कलहरू प्रदान गर्दछ। थप जानकारी [यहाँ](https://concept.research.microsoft.com/Home/Api) उपलब्ध छ। यहाँ कल गर्नको लागि नमूना URL छ: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import urllib\n", - "import json\n", - "\n", - "def http(x):\n", - " response = urllib.request.urlopen(x)\n", - " data = response.read()\n", - " return data.decode('utf-8')\n", - "\n", - "def query(x):\n", - " concept = x.lower().replace(' ', '_')\n", - " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", - " urllib.parse.quote(concept))\n", - " try:\n", - " result = json.loads(http(url))\n", - " except Exception:\n", - " return {}\n", - " edges = result.get('edges', [])\n", - " if not edges:\n", - " return {}\n", - " total_weight = sum(edge['weight'] for edge in edges)\n", - " if total_weight == 0:\n", - " return {}\n", - " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", - "\n", - "query('microsoft')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "हामी समाचार शीर्षकहरूलाई अभिभावक अवधारणाहरू प्रयोग गरेर वर्गीकरण गर्ने प्रयास गरौं। समाचार शीर्षकहरू प्राप्त गर्नका लागि, हामी [NewsApi.org](http://newsapi.org) सेवा प्रयोग गर्नेछौं। सेवा प्रयोग गर्नका लागि तपाईंले आफ्नो API कुञ्जी प्राप्त गर्न आवश्यक छ - वेबसाइटमा जानुहोस् र निःशुल्क डेभलपर योजना दर्ता गर्नुहोस्।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "newsapi_key = ''\n", - "def get_news(country='us'):\n", - " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", - " return res['articles']\n", - "\n", - "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", - " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", - " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", - " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", - " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", - " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", - " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", - " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", - " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", - " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", - " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", - " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", - " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", - " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", - " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", - " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", - " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", - " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", - " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", - " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", - " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", - " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", - " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", - " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", - " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", - " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", - " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", - " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", - " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", - " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", - " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", - " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", - " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", - " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_titles" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "सबभन्दा पहिले, हामी समाचार शीर्षकहरूबाट संज्ञा निकाल्न सक्षम हुन चाहन्छौं। हामी यसका लागि `TextBlob` पुस्तकालय प्रयोग गर्नेछौं, जसले यस्ता सामान्य NLP कार्यहरूलाई धेरै सरल बनाउँछ।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", - "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", - "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", - "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", - "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", - "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", - "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", - "Finished.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[nltk_data] Downloading package brown to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package brown is already up-to-date!\n", - "[nltk_data] Downloading package punkt to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package punkt is already up-to-date!\n", - "[nltk_data] Downloading package wordnet to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package wordnet is already up-to-date!\n", - "[nltk_data] Downloading package averaged_perceptron_tagger to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", - "[nltk_data] date!\n", - "[nltk_data] Downloading package conll2000 to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package conll2000 is already up-to-date!\n", - "[nltk_data] Downloading package movie_reviews to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package movie_reviews is already up-to-date!\n" - ] - } - ], - "source": [ - "import sys\n", - "!{sys.executable} -m pip install textblob\n", - "!{sys.executable} -m textblob.download_corpora\n", - "from textblob import TextBlob" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'covid-19 live updates': 1,\n", - " 'vaccines': 1,\n", - " 'boosters': 1,\n", - " 'york': 4,\n", - " 'ukrainians flee mariupol': 1,\n", - " 'forces push': 1,\n", - " 'port city': 1,\n", - " 'wall street journal': 3,\n", - " 'bond yields': 1,\n", - " 'futures rise': 1,\n", - " 'powell says fed': 1,\n", - " 'ready': 1,\n", - " 'be': 1,\n", - " 'aggressive': 1,\n", - " 'putin': 3,\n", - " 'alexei navalny': 2,\n", - " 'russian': 2,\n", - " 'supreme court nominee': 1,\n", - " 'ketanji brown jackson': 1,\n", - " \"confirmation hearing 's\": 1,\n", - " 'cnn': 1,\n", - " 'swedish': 1,\n", - " 'high school': 1,\n", - " 'abc': 1,\n", - " 'clues': 1,\n", - " 'covid-19': 1,\n", - " '’ s': 2,\n", - " 'moves': 1,\n", - " 'sewers': 1,\n", - " 'roll dice': 1,\n", - " 'jackson': 1,\n", - " 'decisions |': 1,\n", - " 'thehill': 1,\n", - " 'clear': 2,\n", - " 'chemical weapons': 2,\n", - " 'ukraine': 3,\n", - " 'claims president': 2,\n", - " 'biden': 2,\n", - " 'nasa': 2,\n", - " 'solar system': 2,\n", - " 'daily mail': 3,\n", - " 'us stocks': 1,\n", - " 'fed chair powell': 1,\n", - " \"'s remarks\": 1,\n", - " 'fox': 1,\n", - " \"'we 've\": 1,\n", - " 'tests': 1,\n", - " 'covid': 1,\n", - " 'politico': 1,\n", - " 'duchess': 1,\n", - " 'cambridge': 1,\n", - " 'swaps khaki jungle gear': 1,\n", - " 'vampire': 1,\n", - " 'wife': 1,\n", - " 'belize': 1,\n", - " 'china': 2,\n", - " 'flight recorders': 1,\n", - " 'plane crash': 1,\n", - " 'reuters': 2,\n", - " 'russian oligarch': 1,\n", - " 'abramovich': 1,\n", - " 'live': 1,\n", - " 'russia': 2,\n", - " 'stops talks': 1,\n", - " 'japan': 1,\n", - " 'español': 1,\n", - " 'powers remain': 1,\n", - " 'threats lurk': 1,\n", - " 'set': 1,\n", - " 'webb': 1,\n", - " 'telescope begins multi-instrument alignment': 1,\n", - " 'scitechdaily': 1,\n", - " 'uconn': 1,\n", - " 'ucf': 1,\n", - " 'ncaa': 1,\n", - " \"women 's tournament second-round highlights\": 1,\n", - " 'march madness': 1,\n", - " 'bucking republican trend': 1,\n", - " 'indiana': 1,\n", - " 'vetoes transgender': 1,\n", - " 'bill': 1,\n", - " 'maggie fox': 1,\n", - " 'coronation': 1,\n", - " 'shameless': 1,\n", - " \"'sudden accident\": 1,\n", - " 'mirror online': 1,\n", - " 'mirror': 2,\n", - " 'plane crash –': 1,\n", - " 'search': 1,\n", - " 'moment flight': 1,\n", - " 'daniel morgan': 1,\n", - " 'report condemns': 1,\n", - " 'met': 1,\n", - " 'guardian': 6,\n", - " 'rishi sunak': 1,\n", - " '’ s spring': 1,\n", - " 'statement': 1,\n", - " 'bbc.com': 1,\n", - " 'uk': 3,\n", - " 'ireland': 1,\n", - " 'euro': 1,\n", - " 'vladimir putin': 2,\n", - " \"'s 'lover\": 1,\n", - " 'brass eye': 1,\n", - " '’ s outtakes': 1,\n", - " 'brutal tv comedy': 1,\n", - " 'threatens civilians': 1,\n", - " 'mariupol': 1,\n", - " \"'s spirit\": 1,\n", - " 'shell u-turn': 1,\n", - " 'cambo': 1,\n", - " 'green targets': 1,\n", - " 'st helens': 1,\n", - " 'dog attack': 1,\n", - " 'girl': 1,\n", - " 'bbc': 1,\n", - " 'playstation': 1,\n", - " \"'assassin 's\": 1,\n", - " 'creed': 1,\n", - " 'jade raymond': 1,\n", - " 'haven studios': 1,\n", - " 'nme': 1,\n", - " 'nintendo switch': 1,\n", - " 'folders •': 1,\n", - " 'eurogamer.net': 2,\n", - " 'fa': 1,\n", - " 'solution ”': 1,\n", - " 'liverpool': 1,\n", - " 'fan group blasts “ shambolic ”': 1,\n", - " 'wembley': 1,\n", - " 'anfield': 1,\n", - " 'manchester': 1,\n", - " 'live erik': 1,\n", - " 'hag': 1,\n", - " 'utd': 1,\n", - " 'manager updates': 1,\n", - " 'manchester evening': 1,\n", - " 'inflation': 1,\n", - " 'government borrowing': 1,\n", - " 'february': 1,\n", - " 'crude oil': 1,\n", - " '– business': 1,\n", - " 'kremlin': 1,\n", - " 'large-scale fraud': 1,\n", - " 'sky': 1,\n", - " 'natural gas': 1,\n", - " 'gazprom': 1,\n", - " 'retail unit': 1,\n", - " 'insider': 1,\n", - " 'zaghari-ratcliffe': 1,\n", - " 'hunt': 1,\n", - " 'iran': 1,\n", - " 'debt payment': 1}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for n in TextBlob(x).noun_phrases:\n", - " if n in w:\n", - " w[n].append(x)\n", - " else:\n", - " w[n]=[x]\n", - "{ x:len(w[x]) for x in w.keys()}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "हामी देख्न सक्छौं कि संज्ञाले हामीलाई ठूला थिमेटिक समूहहरू प्रदान गर्दैन। आउनुहोस् संज्ञालाई अवधारणा ग्राफबाट प्राप्त सामान्य शब्दहरूद्वारा प्रतिस्थापन गरौं। यसले केही समय लिनेछ, किनभने हामी प्रत्येक संज्ञा वाक्यांशको लागि REST कल गर्दैछौं।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for noun in TextBlob(x).noun_phrases:\n", - " terms = query(noun)\n", - " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", - " if term in w:\n", - " w[term].append(x)\n", - " else:\n", - " w[term]=[x]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'city': 9,\n", - " 'brand': 4,\n", - " 'place': 9,\n", - " 'town': 4,\n", - " 'factor': 4,\n", - " 'film': 4,\n", - " 'nation': 11,\n", - " 'state': 5,\n", - " 'person': 4,\n", - " 'organization': 5,\n", - " 'publication': 10,\n", - " 'market': 5,\n", - " 'economy': 4,\n", - " 'company': 6,\n", - " 'newspaper': 6,\n", - " 'relationship': 6}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ECONOMY:\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "\n", - "NATION:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", - "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", - "\n", - "PERSON:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" - ] - } - ], - "source": [ - "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", - "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", - "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n---\n\n**अस्वीकरण**: \nयो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको छ। हामी शुद्धताको लागि प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादहरूमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छ। यसको मूल भाषा मा रहेको मूल दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीको लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.4 64-bit (conda)", - "metadata": { - "interpreter": { - "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" - } - }, - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.5" - }, - "coopTranslator": { - "original_hash": "7b3f1fc049371bcf8649ac9fefdf0413", - "translation_date": "2025-10-03T18:53:18+00:00", - "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", - "language_code": "ne" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "## अवधारणा ग्राफ कन्सेप्टनेट प्रयोग गरेर\n", + "\n", + "> **नोट:** मौलिक [Microsoft Concept Graph](https://concept.research.microsoft.com/) API अब उपलब्ध छैन। यो नोटबुक [ConceptNet](https://conceptnet.io/) लाई प्रतिस्थापनको रूपमा प्रयोग गर्न अद्यावधिक गरिएको छ, जुन समान `is-a` सम्बन्धहरू भएका अवधारणाहरू बीचको स्वतन्त्र रूपले उपलब्ध खुला ज्ञान ग्राफ हो।\n", + "\n", + "[ConceptNet](https://conceptnet.io/) अवधारणाहरूको ठूलो सेमान्टिक नेटवर्क हो जसमा `IsA`, `PartOf`, `UsedFor` लगायतका सम्बन्धहरू छन्। यो उपलब्ध छ:\n", + " * डाउनलोड गर्न मिल्ने डेटा फाइलको रूपमा\n", + " * REST API को रूपमा (API कुञ्जी आवश्यक छैन)\n", + "\n", + "ConceptNet तथ्यांकहरू:\n", + " * ८ मिलियनभन्दा बढी नोडहरू\n", + " * ८३ भाषाहरूमा २१+ मिलियन किनाराहरू\n" + ] }, - "nbformat": 4, - "nbformat_minor": 2 + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ConceptNet वेब सेवा प्रयोग गर्दै\n", + "\n", + "[ConceptNet](https://conceptnet.io/) ले अवधारणाहरू बीच `is-a` (IsA) सम्बन्धहरू अन्वेषण गर्नको लागि REST API प्रदान गर्दछ। कुनै API कुञ्जी आवश्यक छैन।\n", + "यहाँ कल गर्न नमुना URL छ: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "import urllib\n", + "import json\n", + "\n", + "def http(x):\n", + " response = urllib.request.urlopen(x)\n", + " data = response.read()\n", + " return data.decode('utf-8')\n", + "\n", + "def query(x):\n", + " concept = x.lower().replace(' ', '_')\n", + " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", + " urllib.parse.quote(concept))\n", + " try:\n", + " result = json.loads(http(url))\n", + " except Exception:\n", + " return {}\n", + " edges = result.get('edges', [])\n", + " if not edges:\n", + " return {}\n", + " total_weight = sum(edge['weight'] for edge in edges)\n", + " if total_weight == 0:\n", + " return {}\n", + " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", + "\n", + "query('microsoft')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "खबर शीर्षकहरूलाई अभिभावक अवधारणाहरू प्रयोग गरेर वर्गीकरण गर्ने प्रयास गरौं। खबर शीर्षकहरू प्राप्त गर्नका लागि, हामी [NewsApi.org](http://newsapi.org) सेवा प्रयोग गर्नेछौं। सेवा प्रयोग गर्न आफ्नै API कुञ्जी प्राप्त गर्नुपर्ने हुन्छ - वेब साइटमा जानुहोस् र निःशुल्क विकासकर्ता योजना का लागि दर्ता गर्नुहोस्।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "newsapi_key = ''\n", + "def get_news(country='us'):\n", + " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", + " return res['articles']\n", + "\n", + "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", + " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", + " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", + " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", + " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", + " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", + " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", + " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", + " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", + " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", + " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", + " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", + " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", + " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", + " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", + " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", + " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", + " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", + " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", + " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", + " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", + " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", + " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", + " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", + " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", + " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", + " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", + " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", + " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", + " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", + " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", + " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", + " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", + " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_titles" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "सबैभन्दा पहिले, हामी समाचार शीर्षकहरूबाट संज्ञा निकाल्न सक्षम हुन चाहन्छौं। हामी यसको लागि `TextBlob` पुस्तकालय प्रयोग गर्नेछौं, जसले यस प्रकारका धेरै सामान्य NLP कार्यहरूलाई सजिलो बनाउँछ।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", + "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", + "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", + "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", + "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", + "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", + "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", + "Finished.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[nltk_data] Downloading package brown to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package brown is already up-to-date!\n", + "[nltk_data] Downloading package punkt to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package punkt is already up-to-date!\n", + "[nltk_data] Downloading package wordnet to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package wordnet is already up-to-date!\n", + "[nltk_data] Downloading package averaged_perceptron_tagger to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", + "[nltk_data] date!\n", + "[nltk_data] Downloading package conll2000 to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package conll2000 is already up-to-date!\n", + "[nltk_data] Downloading package movie_reviews to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package movie_reviews is already up-to-date!\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install textblob\n", + "!{sys.executable} -m textblob.download_corpora\n", + "from textblob import TextBlob" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'covid-19 live updates': 1,\n", + " 'vaccines': 1,\n", + " 'boosters': 1,\n", + " 'york': 4,\n", + " 'ukrainians flee mariupol': 1,\n", + " 'forces push': 1,\n", + " 'port city': 1,\n", + " 'wall street journal': 3,\n", + " 'bond yields': 1,\n", + " 'futures rise': 1,\n", + " 'powell says fed': 1,\n", + " 'ready': 1,\n", + " 'be': 1,\n", + " 'aggressive': 1,\n", + " 'putin': 3,\n", + " 'alexei navalny': 2,\n", + " 'russian': 2,\n", + " 'supreme court nominee': 1,\n", + " 'ketanji brown jackson': 1,\n", + " \"confirmation hearing 's\": 1,\n", + " 'cnn': 1,\n", + " 'swedish': 1,\n", + " 'high school': 1,\n", + " 'abc': 1,\n", + " 'clues': 1,\n", + " 'covid-19': 1,\n", + " '’ s': 2,\n", + " 'moves': 1,\n", + " 'sewers': 1,\n", + " 'roll dice': 1,\n", + " 'jackson': 1,\n", + " 'decisions |': 1,\n", + " 'thehill': 1,\n", + " 'clear': 2,\n", + " 'chemical weapons': 2,\n", + " 'ukraine': 3,\n", + " 'claims president': 2,\n", + " 'biden': 2,\n", + " 'nasa': 2,\n", + " 'solar system': 2,\n", + " 'daily mail': 3,\n", + " 'us stocks': 1,\n", + " 'fed chair powell': 1,\n", + " \"'s remarks\": 1,\n", + " 'fox': 1,\n", + " \"'we 've\": 1,\n", + " 'tests': 1,\n", + " 'covid': 1,\n", + " 'politico': 1,\n", + " 'duchess': 1,\n", + " 'cambridge': 1,\n", + " 'swaps khaki jungle gear': 1,\n", + " 'vampire': 1,\n", + " 'wife': 1,\n", + " 'belize': 1,\n", + " 'china': 2,\n", + " 'flight recorders': 1,\n", + " 'plane crash': 1,\n", + " 'reuters': 2,\n", + " 'russian oligarch': 1,\n", + " 'abramovich': 1,\n", + " 'live': 1,\n", + " 'russia': 2,\n", + " 'stops talks': 1,\n", + " 'japan': 1,\n", + " 'español': 1,\n", + " 'powers remain': 1,\n", + " 'threats lurk': 1,\n", + " 'set': 1,\n", + " 'webb': 1,\n", + " 'telescope begins multi-instrument alignment': 1,\n", + " 'scitechdaily': 1,\n", + " 'uconn': 1,\n", + " 'ucf': 1,\n", + " 'ncaa': 1,\n", + " \"women 's tournament second-round highlights\": 1,\n", + " 'march madness': 1,\n", + " 'bucking republican trend': 1,\n", + " 'indiana': 1,\n", + " 'vetoes transgender': 1,\n", + " 'bill': 1,\n", + " 'maggie fox': 1,\n", + " 'coronation': 1,\n", + " 'shameless': 1,\n", + " \"'sudden accident\": 1,\n", + " 'mirror online': 1,\n", + " 'mirror': 2,\n", + " 'plane crash –': 1,\n", + " 'search': 1,\n", + " 'moment flight': 1,\n", + " 'daniel morgan': 1,\n", + " 'report condemns': 1,\n", + " 'met': 1,\n", + " 'guardian': 6,\n", + " 'rishi sunak': 1,\n", + " '’ s spring': 1,\n", + " 'statement': 1,\n", + " 'bbc.com': 1,\n", + " 'uk': 3,\n", + " 'ireland': 1,\n", + " 'euro': 1,\n", + " 'vladimir putin': 2,\n", + " \"'s 'lover\": 1,\n", + " 'brass eye': 1,\n", + " '’ s outtakes': 1,\n", + " 'brutal tv comedy': 1,\n", + " 'threatens civilians': 1,\n", + " 'mariupol': 1,\n", + " \"'s spirit\": 1,\n", + " 'shell u-turn': 1,\n", + " 'cambo': 1,\n", + " 'green targets': 1,\n", + " 'st helens': 1,\n", + " 'dog attack': 1,\n", + " 'girl': 1,\n", + " 'bbc': 1,\n", + " 'playstation': 1,\n", + " \"'assassin 's\": 1,\n", + " 'creed': 1,\n", + " 'jade raymond': 1,\n", + " 'haven studios': 1,\n", + " 'nme': 1,\n", + " 'nintendo switch': 1,\n", + " 'folders •': 1,\n", + " 'eurogamer.net': 2,\n", + " 'fa': 1,\n", + " 'solution ”': 1,\n", + " 'liverpool': 1,\n", + " 'fan group blasts “ shambolic ”': 1,\n", + " 'wembley': 1,\n", + " 'anfield': 1,\n", + " 'manchester': 1,\n", + " 'live erik': 1,\n", + " 'hag': 1,\n", + " 'utd': 1,\n", + " 'manager updates': 1,\n", + " 'manchester evening': 1,\n", + " 'inflation': 1,\n", + " 'government borrowing': 1,\n", + " 'february': 1,\n", + " 'crude oil': 1,\n", + " '– business': 1,\n", + " 'kremlin': 1,\n", + " 'large-scale fraud': 1,\n", + " 'sky': 1,\n", + " 'natural gas': 1,\n", + " 'gazprom': 1,\n", + " 'retail unit': 1,\n", + " 'insider': 1,\n", + " 'zaghari-ratcliffe': 1,\n", + " 'hunt': 1,\n", + " 'iran': 1,\n", + " 'debt payment': 1}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for n in TextBlob(x).noun_phrases:\n", + " if n in w:\n", + " w[n].append(x)\n", + " else:\n", + " w[n]=[x]\n", + "{ x:len(w[x]) for x in w.keys()}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "हामी देख्न सक्छौं कि संज्ञाहरूले हामीलाई ठूलो थीमेटिक समूहहरू दिन्नन्। हामी संज्ञाहरूलाई अवधारणा ग्राफबाट प्राप्त सामान्य शब्दहरूद्वारा प्रतिस्थापन गर्छौं। यसमा केही समय लाग्नेछ, किनभने हामी प्रत्येक संज्ञा वाक्यांशको लागि REST कल गर्दैछौं।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for noun in TextBlob(x).noun_phrases:\n", + " terms = query(noun)\n", + " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", + " if term in w:\n", + " w[term].append(x)\n", + " else:\n", + " w[term]=[x]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'city': 9,\n", + " 'brand': 4,\n", + " 'place': 9,\n", + " 'town': 4,\n", + " 'factor': 4,\n", + " 'film': 4,\n", + " 'nation': 11,\n", + " 'state': 5,\n", + " 'person': 4,\n", + " 'organization': 5,\n", + " 'publication': 10,\n", + " 'market': 5,\n", + " 'economy': 4,\n", + " 'company': 6,\n", + " 'newspaper': 6,\n", + " 'relationship': 6}" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ECONOMY:\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "\n", + "NATION:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", + "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", + "\n", + "PERSON:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" + ] + } + ], + "source": [ + "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", + "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", + "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n\n\n**अस्वीकरण**:\nयो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) को प्रयोग गरी अनुवाद गरिएको हो। हामी शुद्धताका लागि प्रयासरत छौं, तर कृपया जानकार हुनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धता हुन सक्नेछन्। मूल दस्तावेज़ यसको मूल भाषामा आधिकारिक स्रोत मानिनेछ। महत्वपूर्ण जानकारीका लागि व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न कुनै बुझाइभिन्नता वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।\n\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.4 64-bit (conda)", + "metadata": { + "interpreter": { + "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" + } + }, + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 } \ No newline at end of file diff --git a/translations/pa/.co-op-translator.json b/translations/pa/.co-op-translator.json index d2d798f2..2d7d60f4 100644 --- a/translations/pa/.co-op-translator.json +++ b/translations/pa/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "pa" }, "README.md": { - "original_hash": "75fe3383afc51eaa84b82ace619ffea7", - "translation_date": "2026-02-06T07:59:45+00:00", + "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", + "translation_date": "2026-02-28T09:24:17+00:00", "source_file": "README.md", "language_code": "pa" }, @@ -89,6 +89,12 @@ "source_file": "lessons/1-Intro/assignment.md", "language_code": "pa" }, + "lessons/2-Symbolic/MSConceptGraph.ipynb": { + "original_hash": "e5690bbc6e5119a96a8172ec7261db67", + "translation_date": "2026-02-28T09:18:55+00:00", + "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", + "language_code": "pa" + }, "lessons/2-Symbolic/README.md": { "original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4", "translation_date": "2026-01-15T13:20:03+00:00", diff --git a/translations/pa/README.md b/translations/pa/README.md index a3c7a228..b393a96f 100644 --- a/translations/pa/README.md +++ b/translations/pa/README.md @@ -12,160 +12,168 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# ਬੇਗਿਨਰਜ਼ ਲਈ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ - ਇੱਕ ਅਕਾਦਮਿਕ ਪਾਠਕ੍ਰਮ +# ਸ਼ੁਰੂਆਤ ਕਰਨ ਵਾਲਿਆਂ ਲਈ ਕృਤ੍ਰਿਮ ਬੁੱਧੀ - ਇੱਕ ਕੋਰਸ |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| -| ਬੇਗਿਨਰਜ਼ ਲਈ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ - _ਸਕੇਚ ਨੋਟ ਬਾਈ [@girlie_mac](https://twitter.com/girlie_mac)_ | +| ਮੁਲਾਂਕਣ ਲਈ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ - _ਸਕੇਟਚਨੋਟ [@girlie_mac](https://twitter.com/girlie_mac) ਵਲੋਂ_ | -ਸਾਡੀ 12 ਹਫ਼ਤੇ, 24 ਪਾਠਕਾਂ ਦਾ ਕੋਰਸ ਦੇ ਨਾਲ **ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ** (AI) ਦੀ ਦੁਨੀਆਂ ਦੀ ਪੜਚੋਲ ਕਰੋ! ਇਸ ਵਿੱਚ ਪ੍ਰਯੋਗਾਤਮਕ ਪਾਠ, ਕੁਇਜ਼ ਅਤੇ ਲੈਬ ਸ਼ਾਮਿਲ ਹਨ। ਕੋਰਸ ਬੇਗਿਨਰ-ਮਿਤ੍ਰ ਹੈ ਅਤੇ ਟੈਂਸਰਫਲੋ ਅਤੇ ਪਾਈਟਾਰਚ ਜਿਹੇ ਟੂਲ ਨਾਲ-ਨਾਲ AI ਵਿੱਚ ਨੈਤਿਕਤਾ ਦਾ ਵਿਸਤਾਰ ਕਰਦਾ ਹੈ। +**ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ** ਦੇ ਸੰਸਾਰ ਨੂੰ ਪਤਾ ਲਗਾਓ 12-ਹਫ਼ਤਿਆਂ, 24-ਪਾਠਾਂ ਦੇ ਕੋਰਸ ਨਾਲ! ਇਸ ਵਿੱਚ ਕਾਰਗਰ ਪਾਠ, ਕਵੀਜ਼ ਅਤੇ ਲੈਬ ਸ਼ਾਮਲ ਹਨ। ਇਹ ਕੋਰਸ ਨਵੇਂ ਸਿੱਖਣ ਵਾਲਿਆਂ ਲਈ ਹੈ ਅਤੇ TensorFlow ਅਤੇ PyTorch ਵਰਗੇ ਟੂਲਾਂ ਦੇ ਨਾਲ ਨਾਲ AI ਵਿੱਚ ਨੈਤੀਕਤਾ ਨੂੰ ਵੀ ਕਵਰ ਕਰਦਾ ਹੈ। -### 🌐 ਬਹੁਭਾਸ਼ੀ ਸਹਿਯੋਗ +### 🌐 ਬਹੁ-ਭਾਸ਼ਾਈ ਸਮਰਥਨ -#### GitHub ਐਕਸ਼ਨ ਰਾਹੀਂ ਸਮਰਥਿਤ (ਆਟੋਮੇਟਿਡ & ਹਮੇਸ਼ਾ ਤਾਜ਼ਾ) +#### GitHub ਐਕਸ਼ਨ ਰਾਹੀਂ ਸਮਰਥਿਤ (ਸਵੈਚਾਲਿਤ ਅਤੇ ਹਮੇਸ਼ਾ ਤਾਜ਼ਾ) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](./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](../vi/README.md) -> **ਕੀ ਤੁਸੀਂ ਸਥਾਨਕ ਤੌਰ 'ਤੇ ਕਲੋਨ ਕਰਨਾ ਪਸੰਦ ਕਰोगੇ?** - -> ਇਹ ਰੇਪੋ ਸੈਂਕੜੇ ਭਾਸ਼ਾਈ ਅਨੁਵਾਦ ਸ਼ਾਮਿਲ ਕਰਦਾ ਹੈ ਜੋ ਡਾਊਨਲੋਡ ਦਾ ਆਕਾਰ ਕਾਫੀ ਵਧਾ ਦਿੰਦੇ ਹਨ। ਬਿਨਾ ਅਨੁਵਾਦਾਂ ਦੇ ਕਲੋਨ ਕਰਨ ਲਈ, sparse checkout ਦੀ ਵਰਤੋਂ ਕਰੋ: +> **ਆਪਣੇ ਸਿਸਟਮ ਤੇ ਕਲੋਨ ਕਰਨਾਨਾਂ ਹੈ?** +> +> ਇਹ ਰੇਪੋਜ਼ਿਟਰੀ 50+ ਭਾਸ਼ਾਈਆਂ ਦੇ ਅਨੁਵਾਦਾਂ ਨੂੰ ਸ਼ਾਮਲ ਕਰਦਾ ਹੈ ਜੋ ਡਾਊਨਲੋਡ ਸਾਈਜ਼ ਨੂੰ ਵੱਡਾ ਕਰਦਾ ਹੈ। ਬਿਨਾਂ ਅਨੁਵਾਦਾਂ ਦੇ ਕਲੋਨ ਕਰਨ ਲਈ sparse checkout ਦੀ ਵਰਤੋਂ ਕਰੋ: +> +> **Bash / macOS / Linux:** > ```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' > ``` -> ਇਹ ਤੁਹਾਨੂੰ ਕੋਰਸ ਨੂੰ ਪੂਰਾ ਕਰਨ ਲਈ ਜ਼ਰੂਰੀ ਸਾਰਾ ਕੁਝ ਤੇਜ਼ ਡਾਊਨਲੋਡ ਵਿਸਤਾਰ ਨਾਲ ਦਿੰਦਾ ਹੈ। +> +> **CMD (Windows):** +> ```cmd +> 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" +> ``` +> +> ਇਸ ਨਾਲ ਤੁਹਾਨੂੰ ਕੋਰਸ ਪੂਰਾ ਕਰਨ ਲਈ ਸਾਰਾ ਸਮੱਗਰੀ ਬਹੁਤ ਤੇਜ਼ ਡਾਊਨਲੋਡ ਦੇ ਨਾਲ ਮਿਲ ਜਾਵੇਗਾ। -**ਜੇ ਤੁਸੀਂ ਹੋਰ ਅਨੁਵਾਦ ਭਾਸ਼ਾਵਾਂ ਚਾਹੁੰਦੇ ਹੋ ਤਾਂ ਉਹ ਇੱਥੇ ਦਿੱਤੇ ਗਏ ਹਨ [ਇਥੇ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**ਜੇ ਤੁਸੀਂ ਹੋਰ ਅਨੁਵਾਦ ਭਾਸ਼ਾਵਾਂ ਚਾਹੁੰਦੇ ਹੋ ਤਾਂ ਇਨ੍ਹਾਂ ਨੂੰ [ਇੱਥੇ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ਲਿਸਟ ਕੀਤਾ ਗਿਆ ਹੈ** -## ਕਮਿਊਨਿਟੀ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ +## ਕਮਿਊਨਿਟੀ ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## ਤੁਸੀਂ ਕੀ ਸਿੱਖੋਗੇ -**[ਕੋਰਸ ਦਾ ਮਾਈੰਡਮੈਪ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[ਕੋਰਸ ਦਾ ਮਨ-ਨਕਸ਼ਾ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ, ਤੁਸੀਂ ਸਿੱਖੋਗੇ: +ਇਸ ਕੋਰਸ ਵਿੱਚ, ਤੁਸੀਂ ਸਿੱਖੋਗੇ: -* ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ ਦੀਆਂ ਵੱਖ-ਵੱਖ ਪਹੁੰਚਾਂ, ਜਿਸ ਵਿੱਚ "ਚੰਗੀ ਪੁਰਾਣੀ" ਪ੍ਰਤੀਕਾਤਮਕ ਪਹੁੰਚ ਸ਼ਾਮਿਲ ਹੈ, ਜਿਸ ਵਿੱਚ **ਜਾਣਕਾਰੀ ਪ੍ਰਤਿਨਿਧਿਤਾ** ਅਤੇ ਤਰਕ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))। -* **ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ** ਅਤੇ **ਡੀਪ ਲਰਨਿੰਗ**, ਜੋ ਆਧੁਨਿਕ AI ਦੇ ਕੇਂਦਰ ਵਿੱਚ ਹਨ। ਅਸੀਂ ਇਹ ਜਰੂਰੀ ਵਿਸ਼ਿਆਂ ਨੂੰ ਦੋ ਸਭ ਤੋਂ ਲੋਕਪ੍ਰਿਯ ਫਰੇਮਵਰਕਾਂ ਵਿੱਚ ਕੋਡ ਰਾਹੀਂ ਦਰਸਾਵਾਂਗੇ - [TensorFlow](http://Tensorflow.org) ਅਤੇ [PyTorch](http://pytorch.org)। -* ਛਬੀਆਂ ਅਤੇ ਲਿਖਤ ਨਾਲ ਕੰਮ ਕਰਨ ਲਈ **ਨਿਊਰਲ ਆਰਕੀਟੈਕਚਰ**। ਅਸੀਂ ਹਾਲੀਆ ਮਾਡਲਾਂ ਨੂੰ ਕਵਰ ਕਰਾਂਗੇ, ਪਰ ਸਿਆਸਤ-ਕਾਰਗੁਜ਼ਾਰੀ ਵਿੱਚ ਕੁਝ ਘਾਟ ਹੋ ਸਕਦੀ ਹੈ। -* ਘੱਟ ਲੋਕਪ੍ਰਿਯ AI ਪਹੁੰਚਾਂ, ਜਿਵੇਂ ਕਿ **ਜੀਨੇਟਿਕ ਅਲਗੋਰਿਦਮਸ** ਅਤੇ **ਮਲਟੀ-ਏਜੰਟ ਸਿਸਟਮਸ**। +* ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ ਦੇ ਵੱਖ-ਵੱਖ ਤਰੀਕੇ, ਜਿਨ੍ਹਾਂ ਵਿੱਚ "ਪੁਰਾਣਾ ਚੰਗਾ" ਪ੍ਰਤੀਕਾਤਮਕ ਤਰੀਕਾ ਹੈ ਜਿਸ ਵਿੱਚ **ਜਾਣਕਾਰੀ ਪ੍ਰਤੀਨਿਧਤਾ** ਅਤੇ ਤਰਕ ਸ਼ਾਮਲ ਹਨ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))। +* **ਨਿュਰਲ ਨੈੱਟਵਰਕ** ਅਤੇ **ਡੀਪ ਲਰਨਿੰਗ**, ਜੋ ਆਧੁਨਿਕ AI ਦੇ ਮੁੱਖ ਹਨ। ਅਸੀਂ ਇਹ ਅਹੰਕਾਰ ਹੇਠਾਂ ਦੋ ਸਭ ਤੋਂ ਲੋਕਪ੍ਰਿਯ ਫਰੇਮਵਰਕਸ - [TensorFlow](http://Tensorflow.org) ਅਤੇ [PyTorch](http://pytorch.org) ਕੋਡ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਸਮਝਾਵਾਂਗੇ। +* ਚਿੱਤਰਾਂ ਅਤੇ ਲਿਖਤਾਂ ਨਾਲ ਕੰਮ ਕਰਨ ਲਈ **ਨਯूरਲ ਆਰਕੀਟੈਕਚਰਜ਼**। ਅਸੀਂ ਤਾਜ਼ਾ ਮੌਡਲ ਕਵਰ ਕਰਾਂਗੇ ਪਰ ਸ਼ਾਇਦ ਸਟੇਟ-ਆਫ-ਦ-ਆਰਟ ਵਿੱਚ ਥੋੜ੍ਹਾ ਘਟ ਹੋਵੇ। +* ਘੱਟ ਪ੍ਰਚਲਿਤ AI ਤਰੀਕੇ, ਜਿਵੇਂ ਕਿ **ਜਨੀਟੀਕ ਅਲਗੋਰਿਦਮ** ਅਤੇ **ਮਲਟੀ-ਏਜੰਟ ਸਿਸਟਮ**। -ਇਸ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਅਸੀਂ ਕੀ ਨਹੀਂ ਕਵਰ ਕਰਾਂਗੇ: +ਇਸ ਕੋਰਸ ਵਿੱਚ ਅਸੀਂ ਕਵਰੇਜ ਨਹੀਂ ਕਰਾਂਗੇ: -> [ਇਸ ਕੋਰਸ ਲਈ ਸਾਰੇ ਵਾਧੂ ਸਰੋਤ ਸਾਡੇ Microsoft Learn ਕਲెਕਸ਼ਨ ਵਿੱਚ ਲੱਭੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ਇਸ ਕੋਰਸ ਲਈ ਸਾਰੇ ਵਾਧੂ ਸਰੋਤਾਂ ਨੂੰ ਸਾਡੇ Microsoft Learn ਸੰਗ੍ਰਹਿ ਵਿੱਚ ਖੋਜੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* ਕਾਰੋਬਾਰੀ ਹਾਲਾਤਾਂ ਵਿੱਚ **ਬਿਜ਼ਨਸ ਵਿੱਚ AI ਦੀ ਵਰਤੋਂ**। Microsoft Learn 'ਤੇ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥ ਜਾਂ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ਜੋ [INSEAD](https://www.insead.edu/) ਨਾਲ ਸਹਿਯੋਗ ਵਿੱਚ ਵਿਕਸਿਤ ਹੈ, ਦੀ ਸਿਫਾਰਸ਼ੀ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। -* **ਪ੍ਰਮੁੱਖ ਮਸ਼ੀਨ ਲਰਨਿੰਗ**, ਜੋ ਸਾਡੇ [ਬੇਗਿਨਰਜ਼ ਲਈ ਮਸ਼ੀਨ ਲਰਨਿੰਗ ਕੋਰਸ](http://github.com/Microsoft/ML-for-Beginners) ਵਿੱਚ ਵਧੀਆ ਅੰਤਰਗਤ ਹੈ। -* **[ਕਾਗਨਿਟਿਵ ਸਰਵਿਸਿਜ਼](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ਦੀ ਵਰਤੋਂ ਨਾਲ ਬਣਾਈਆਂ ਪ੍ਰਯੋਗਿਕ AI ਐਪਲੀਕੇਸ਼ਨਜ਼। ਇਨ੍ਹਾਂ ਲਈ ਸਾਡੀ ਸਿਫਾਰਸ਼ ਹੈ ਕਿ ਤੁਸੀਂ Microsoft Learn ਦੇ ਮਾਡਿਊਲਾਂ ਨਾਲ ਸ਼ੁਰੂਆਤ ਕਰੋ ਜਿਵੇਂ [ਦ੍ਰਿਸ਼ਟੀ](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰਸੈਸਿੰਗ](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI ਸਰਵਿਸ ਨਾਲ ਜਨਰੈਟਿਵ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ਅਤੇ ਹੋਰ। -* ਵੱਖ-ਵੱਖ ML **ਕਲਾਉਡ ਫਰੇਮਵਰਕਜ਼**, ਜਿਵੇਂ [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), ਜਾਂ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [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) ਅਤੇ [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) ਲਰਨਿੰਗ ਪਾਥ ਦੀ ਵਰਤੋਂ ਕਰੋ। -* **ਵਾਰਤਾਲਾਪੀ AI** ਅਤੇ **ਚੈੱਟ ਬੋਟਸ**। ਇਹਨਾਂ ਲਈ ਵੱਖਰਾ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥ ਮੌਜੂਦ ਹੈ, ਅਤੇ ਤੁਸੀਂ ਹੋਰ ਵੇਰਵੇ ਲਈ [ਇਹ ਬਲੌਗ ਪੋਸਟ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ਵੇਖ ਸਕਦੇ ਹੋ। -* **ਡੀਪ ਲਰਨਿੰਗ ਦੀ ਡੂੰਘੀ ਗਣਿਤ**। ਇਸ ਲਈ, ਅਸੀਂ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ਆਈਐਨ ਗੁੱਡਫੈਲੋ, ਯੋਸ਼ੁਆ ਬੇਂਗਿਓ ਅਤੇ ਐਰਨ ਕੋਰਵਿਲ ਦੁਆਰਾ ਲਿਖੀ ਗਈ ਕਿਤਾਬ ਦੀ ਸਿਫਾਰਸ਼ ਕਰਾਂਗੇ, ਜੋ ਅਨਲਾਈਨ ਵੀ ਉਪਲਬਧ ਹੈ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) 'ਤੇ। +* ਕਾਰੋਬਾਰੀ ਮਾਮਲੇ ਜਿੱਥੇ **ਬਿਜ਼ਨਸ ਵਿੱਚ AI** ਵਰਤਿਆ ਜਾਂਦਾ ਹੈ। ਇਸ ਲਈ Microsoft Learn ਉੱਤੇ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥ ਜਾਂ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ਜੋ ਕਿ [INSEAD](https://www.insead.edu/) ਨਾਲ ਸਹਿਯੋਗ ਵਿੱਚ ਵਿਕਸਿਤ ਕੀਤਾ ਗਿਆ ਹੈ, ਲੈ ਸਕਦੇ ਹੋ। +* **ਕਲਾਸਿਕ ਮਸ਼ੀਨ ਲਰਨਿੰਗ**, ਜੋ ਸਾਡੇ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ਵਿੱਚ ਚੰਗੀ ਤਰ੍ਹਾਂ ਵਰਣਿਤ ਹੈ। +* **[ਕੌਗਨਿਟਿਵ ਸਰਵਿਸਿਜ਼](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ਦੀ ਵਰਤੋਂ ਕਰ ਕੇ ਬਣਾਈਆਂ ਗਿਆ ਜਨਮੂਲਕ AI ਐਪਲੀਕੇਸ਼ਨਾਂ। ਇਸ ਲਈ ਅਸੀਂ Microsoft Learn ਦੇ ਮੌਡੀਊਲਾਂ ਨਾਲ ਸ਼ੁਰੂਆਤ ਕਰਨ ਦੀ ਸਿਫਾਰਿਸ਼ ਕਰਦੇ ਹਾਂ ਜਿਵੇਂ ਕਿ [ਦ੍ਰਿਸ਼ਟੀ](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰੋਸੈਸਿੰਗ](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI ਸਰਵਿਸ ਨਾਲ ਜਨਰੇਟਿਵ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ਅਤੇ ਹੋਰ। +* ਵਿਸ਼ੇਸ਼ ML **ਕਲਾਊਡ ਫਰੇਮਵਰਕਸ**, ਜਿਵੇਂ ਕਿ [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), ਜਾਂ [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)। [Azure Machine Learning ਨਾਲ ਮਸ਼ੀਨ ਲਰਨਿੰਗ 솔ੂਸ਼ਨ ਬਣਾਓ ਅਤੇ ਚਲਾਓ](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ਅਤੇ [Azure Databricks ਨਾਲ ਮਸ਼ੀਨ ਲਰਨਿੰਗ 솔ੂਸ਼ਨ ਬਣਾਓ ਅਤੇ ਚਲਾਓ](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥਾਂ ਦੀ ਵਰਤੋਂ ਕਰੋ। +* **ਗੱਲਬਾਤੀ AI** ਅਤੇ **ਚੈਟ ਬੋਟਸ**। ਇੱਕ ਵੱਖਰਾ [ਗੱਲਬਾਤੀ AI 솔ੂਸ਼ਨ ਬਣਾਓ](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥ ਹੈ, ਅਤੇ ਤੁਸੀਂ ਹੋਰ ਵਿਸਥਾਰ ਲਈ [ਇਸ ਬਲੌਗ ਪੋਸਟ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ਨੂੰ ਵੀ ਵੇਖ ਸਕਦੇ ਹੋ। +* ਡੀਪ ਲਰਨਿੰਗ ਦੇ ਪਿੱਛੇ **ਗੰਭੀਰ ਗਣਿਤ**। ਇਸ ਲਈ ਅਸੀਂ Ian Goodfellow, Yoshua Bengio ਅਤੇ Aaron Courville ਦੀ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ਕਿਤਾਬ ਸਿਫਾਰਸ਼ ਕਰਾਂਗੇ, ਜੋ [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ਤੇ ਵੀ ਉਪਲਬਧ ਹੈ। -_ਕਲਾਉਡ ਵਿੱਚ AI_ ਬਾਰੇ ਇੱਕ ਨਰਮ ਪਰਿਚਯ ਲਈ ਤੁਸੀਂ [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) ਲਰਨਿੰਗ ਪਾਥ ਲੈ ਸਕਦੇ ਹੋ। +_ਕਲਾਊਡ ਵਿੱਚ AI_ ਟੌਪਿਕਾਂ ਲਈ ਤੁਸੀਂ [Azure ਤੇ ਕ੍ਰਿਤ੍ਰਿਮ ਬੁੱਧੀ ਨਾਲ ਮੁਕਾਮ ਹਾਸਲ ਕਰੋ](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ਲਰਨਿੰਗ ਪਾਥ ਵੀ ਲੈ ਸਕਦੇ ਹੋ। # ਸਮੱਗਰੀ -| | ਪਾਠ ਲਿੰਕ | PyTorch/Keras/TensorFlow | ਲੈਬ | +| | ਪਾਠ ਦਾ ਲਿੰਕ | PyTorch/Keras/TensorFlow | ਲੈਬ | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [ਕੋਰਸ ਸੈੱਟਅਪ](./lessons/0-course-setup/setup.md) | [ਆਪਣੇ ਵਿਕਾਸ ਦਾ ਵਾਤਾਵਰਣ ਸੈੱਟਅਪ ਕਰੋ](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [ਕੋਰਸ ਸੈਟਅੱਪ](./lessons/0-course-setup/setup.md) | [ਆਪਣਾ ਵਿਕਾਸ ਮਾਹੌਲ ਸੈਟਅੱਪ ਕਰੋ](./lessons/0-course-setup/how-to-run.md) | | | I | [**AI ਦਾ ਪਰਿਚਯ**](./lessons/1-Intro/README.md) | | | | 01 | [AI ਦਾ ਪਰਿਚਯ ਅਤੇ ਇਤਿਹਾਸ](./lessons/1-Intro/README.md) | - | - | | II | **ਪ੍ਰਤੀਕਾਤਮਕ AI** | -| 02 | [ਜਾਣਕਾਰੀ ਪ੍ਰਤਿਨਿਧਿਤਾ ਅਤੇ ਵਿਸ਼ੇਸ਼ਾਗਿਆ ਪ੍ਰਣਾਲੀ](./lessons/2-Symbolic/README.md) | [ਵਿਸ਼ੇਸ਼ਾਗਿਆ ਪ੍ਰਣਾਲੀ](./lessons/2-Symbolic/Animals.ipynb) / [ਓਨਟੋਲੋਜੀ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ਕਾਂਸੈਪਟ ਗ੍ਰਾਫ਼](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ ਦਾ ਪਰਚਿਆ**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [ਪਰਸੈਪਟ੍ਰੌਨ](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [ਨੋਟਬੁੱਕ](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ਲੈਬ](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [ਮਲਟੀ-ਲੇਅਰਡ ਪਰਸੈਪਟ੍ਰੌਨ ਅਤੇ ਆਪਣਾ ਫਰੇਮਵਰਕ ਤਿਆਰ ਕਰਨਾ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ਨੋਟਬੁੱਕ](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ਲੈਬ](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [ਫਰੇਮਵਰਕਾਂ ਦਾ ਪਰਚਿਆ (ਪਾਇਟੋਰਚ/ਟੈਂਸਰਫਲੋ) ਅਤੇ ਅਤਿ-ਫਿੱਟਿੰਗ](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [ਪਾਇਟੋਰਚ](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [ਕੇਰਾਸ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ਲੈਬ](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ**](./lessons/4-ComputerVision/README.md) | [ਪਾਇਟੋਰਚ](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [ਟੈਂਸਰਫਲੋ](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [ਮਾਈਕ੍ਰੋਸਾਫਟ ਐਜ਼ੂਅਰ 'ਤੇ ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ ਦਾ ਅਨੁਸੰਧਾਨ ਕਰੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ ਦਾ ਪਰਚਿਆ. ਓਪਨਸੀਵੀ](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ਨੋਟਬੁੱਕ](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ਲੈਬ](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [ਕਨਵੋਲਯੂਸ਼ਨਲ ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ਸੀਐਨਐਨ ਆਰਕੀਟੈਕਚਰਜ਼](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [ਪਾਇਟੋਰਚ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ਲੈਬ](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [ਪੂਰਵ-ਤਿਆਰ ਨੈੱਟਵਰਕਸ ਅਤੇ ਟ੍ਰਾਂਸਫਰ ਲਰਨਿੰਗ](./lessons/4-ComputerVision/08-TransferLearning/README.md) ਅਤੇ [ਟ੍ਰੇਨਿੰਗ ਤਰੀਕੇ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [ਪਾਇਟੋਰਚ](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ਲੈਬ](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [ਆਟੋਇਨਕੋਡਰ ਅਤੇ ਵੀਏਸ](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [ਪਾਇਟੋਰਚ](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [ਜਨਰੇਟਿਵ ਐਡਵਰਸਰੀਅਲ ਨੈੱਟਵਰਕਸ ਅਤੇ ਕਲਾ ਸਟਾਈਲ ਟ੍ਰਾਂਸਫਰ](./lessons/4-ComputerVision/10-GANs/README.md) | [ਪਾਇਟੋਰਚ](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [ਆਬਜੈਕਟ ਡਿਟੈਕਸ਼ਨ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ਲੈਬ](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [ਸੇਮਾਂਟਿਕ ਸੈਗਮੇਂਟੇਸ਼ਨ. ਯੂ-ਨੈੱਟ](./lessons/4-ComputerVision/12-Segmentation/README.md) | [ਪਾਇਟੋਰਚ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰਕਿਰਿਆ**](./lessons/5-NLP/README.md) | [ਪਾਇਟੋਰਚ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[ਟੈਂਸਰਫਲੋ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [ਮਾਈਕ੍ਰੋਸਾਫਟ ਐਜ਼ੂਅਰ 'ਤੇ ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰਕਿਰਿਆ ਦਾ ਅਨੁਸੰਧਾਨ ਕਰੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [ਪਾਠ ਪ੍ਰਤੀਕਰਣ. ਬੋ / ਟੀਐਫ-ਆਈਡੀਐਫ](./lessons/5-NLP/13-TextRep/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [ਸੇਮਾਂਟਿਕ ਸ਼ਬਦ ਸੰਸਕਾਰ. ਵਰਡ2ਵੇਕ ਅਤੇ ਗਲੋਵ](./lessons/5-NLP/14-Embeddings/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [ਭਾਸ਼ਾ ਮਾਡਲਿੰਗ. ਆਪਣੀਆਂ ਸਾਂਝਾਂ ਬਣਾਉਣਾ](./lessons/5-NLP/15-LanguageModeling/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ਲੈਬ](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [ਰਿਕਰੈਂਟ ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ](./lessons/5-NLP/16-RNN/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [ਜਨਰੇਟਿਵ ਰਿਕਰੈਂਟ ਨੈੱਟਵਰਕਸ](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ਲੈਬ](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [ਟ੍ਰਾਂਸਫਰਮਰਜ਼. ਬਰਟ.](./lessons/5-NLP/18-Transformers/README.md) | [ਪਾਇਟੋਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [ਨੇਮਡ ਐਂਟਿਟੀ ਰੀਕਗਨਿਸ਼ਨ](./lessons/5-NLP/19-NER/README.md) | [ਟੈਂਸਰਫਲੋ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ਲੈਬ](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [ਵੱਡੇ ਭਾਸ਼ਾ ਮਾਡਲ, ਪ੍ਰੌਂਪਟ ਪ੍ਰੋਗ੍ਰਾਮਿੰਗ ਅਤੇ ਫਿਊ-ਸ਼ਾਟ ਟਾਸਕ](./lessons/5-NLP/20-LangModels/README.md) | [ਪਾਇਟੋਰਚ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 02 | [ਜਾਣਕਾਰੀ ਪ੍ਰਤਿਨਿਧਿਤਵ ਅਤੇ ਮੁਹਾਰਤ ਪ੍ਰਣਾਲੀਆਂ](./lessons/2-Symbolic/README.md) | [ਮੁਹਾਰਤ ਪ੍ਰਣਾਲੀਆਂ](./lessons/2-Symbolic/Animals.ipynb) / [ਓਨਟੋਲੋਜੀ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ਧਾਰਣਾ ਗ੍ਰਾਫ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ ਦਾ ਪਰਿਚਯ**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [ਪਰਸੈਪਟਰੋਨ](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [ਨੋਟਬੁੱਕ](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ਲੇਬ](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [ਮਲਟੀ-ਲੇਅਰਡ ਪਰਸੈਪਟਰੋਨ ਅਤੇ ਸਾਡਾ ਆਪਣਾ ਫਰੇਮਵਰਕ ਬਣਾਉਣਾ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ਨੋਟਬੁੱਕ](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ਲੇਬ](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [ਫਰੇਮਵਰਕਾਂ ਦਾ ਪਰਿਚਯ (ਪਾਈਟੌਰਚ/ਟੈਂਸਰਫਲੋ) ਅਤੇ ਓਵਰਫਿਟਿੰਗ](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [ਪਾਈਟੌਰਚ](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [ਕੇਰਾਸ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ਲੇਬ](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ**](./lessons/4-ComputerVision/README.md) | [ਪਾਈਟੌਰਚ](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [ਟੈਂਸਰਫਲੋ](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [ਮਾਈਕਰੋਸਾਫਟ ਐਜ਼ਯੂਰ 'ਤੇ ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ ਦੀ ਖੋਜ ਕਰੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [ਕੰਪਿਊਟਰ ਵਿਜ਼ਨ ਦਾ ਪਰਿਚਯ। ਓਪਨ ਸੀਵੀ](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ਨੋਟਬੁੱਕ](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ਲੇਬ](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [ਕਨਵੋਲ્યુਸ਼ਨਲ ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ਸੀਐਨਐਨ ਆਰਕੀਟੈਕਚਰ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [ਪਾਈਟੌਰਚ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ਲੇਬ](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [ਪ੍ਰੀ-ਟਰੇਨਡ ਨੈੱਟਵਰਕਸ ਅਤੇ ਟ੍ਰਾਂਸਫਰ ਲਰਨਿੰਗ](./lessons/4-ComputerVision/08-TransferLearning/README.md) ਅਤੇ [ਟ੍ਰੇਨਿੰਗ ਜਾਦੂ-ਟੋਣ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [ਪਾਈਟੌਰਚ](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ਲੇਬ](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [ਆਟੋਇਨਕੋਡਰ ਅਤੇ ਵੀਏਈਜ਼](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [ਪਾਈਟੌਰਚ](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [ਜਨਰੇਟਿਵ ਐਡਵਰਸਰੀਅਲ ਨੈੱਟਵਰਕਸ ਅਤੇ ਕਲਾਤਮਕ ਸ਼ૈਲੀ ਟ੍ਰਾਂਸਫਰ](./lessons/4-ComputerVision/10-GANs/README.md) | [ਪਾਈਟੌਰਚ](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [ਆਬਜੈਕਟ ਡਿਟੈਕਸ਼ਨ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ਲੇਬ](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [ਸੈਮੈਂਟਿਕ ਸੈਗਮੈਂਟੇਸ਼ਨ। ਯੂ-ਨੈੱਟ](./lessons/4-ComputerVision/12-Segmentation/README.md) | [ਪਾਈਟੌਰਚ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [ਟੈਂਸਰਫਲੋ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰੋਸੈਸਿੰਗ**](./lessons/5-NLP/README.md) | [ਪਾਈਟੌਰਚ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[ਟੈਂਸਰਫਲੋ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [ਮਾਈਕਰੋਸਾਫਟ ਐਜ਼ਯੂਰ 'ਤੇ ਕੁਦਰਤੀ ਭਾਸ਼ਾ ਪ੍ਰੋਸੈਸਿੰਗ ਦੀ ਖੋਜ ਕਰੋ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [ਪਾਠ ਪ੍ਰਤਿਨਿਧਿਤਵ। ਬਾਵ/ਟੀਐਫ-ਆਈਡੀਐਫ](./lessons/5-NLP/13-TextRep/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [ਸੈਮੈਂਟਿਕ ਸ਼ਬਦ ਇੰਬੈਡਿੰਗ। Word2Vec ਅਤੇ GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [ਭਾਸ਼ਾ ਮਾਡਲਿੰਗ। ਆਪਣੇ ਆਪਣੇ ਇੰਬੈਡਿੰਗ ਦੀ ਟ੍ਰੇਨਿੰਗ](./lessons/5-NLP/15-LanguageModeling/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [ਲੇਬ](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [ਪੁਨਰਾਵਰਤ ਨਿਊਰਲ ਨੈੱਟਵਰਕਸ](./lessons/5-NLP/16-RNN/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [ਜਨਰੇਟਿਵ ਰਿਕਰੈਂਟ ਨੈੱਟਵਰਕਸ](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [ਲੇਬ](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [ਟਰਾਂਸਫਾਰਮਰ। ਬਰਟ।](./lessons/5-NLP/18-Transformers/README.md) | [ਪਾਈਟੌਰਚ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [ਨਾਮਕਰਤਾ ਇਕਾਈ ਪਹਿਚਾਣ](./lessons/5-NLP/19-NER/README.md) | [ਟੈਂਸਰਫਲੋ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ਲੇਬ](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [ਵੱਡੇ ਭਾਸ਼ਾ ਮਾਡਲ, ਪ੍ਰੰਪਟ ਪ੍ਰੋਗਰਾਮਿੰਗ ਅਤੇ ਕੁਝ ਸ਼ਾਟ ਕਾਰਜ](./lessons/5-NLP/20-LangModels/README.md) | [ਪਾਈਟੌਰਚ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **ਹੋਰ ਏਆਈ ਤਕਨੀਕਾਂ** || | -| 21 | [ਜੀਨੈਟਿਕ ਅਲਗੋਰਿਦਮ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ਨੋਟਬੁੱਕ](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [ਡੀਪ ਰੀਇਨਫੋਰਸਮੈਂਟ ਲਰਨਿੰਗ](./lessons/6-Other/22-DeepRL/README.md) | [ਪਾਇਟੋਰਚ](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ਲੈਬ](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [ਮਲਟੀ-ਏਜੰਟ ਸਿਸਟਮ](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **ਏਆਈ ਨੈਤਿਕਤਾ** | | | -| 24 | [ਏਆਈ ਨੈਤਿਕਤਾ ਅਤੇ ਜ਼ਿੰਮੇਵਾਰ ਏਆਈ](./lessons/7-Ethics/README.md) | [ਮਾਈਕ੍ਰੋਸਾਫਟ ਲਰਨ: ਜ਼ਿੰਮੇਵਾਰ ਏਆਈ ਸਿਧਾਂਤ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **ਵਾਧੂ** | | | -| 25 | [ਮਲਟੀ-ਮੋਡਲ ਨੈੱਟਵਰਕਸ, ਕਲਿਪ ਅਤੇ ਵੀਕ੍ਯੂਜੀਐਨ](./lessons/X-Extras/X1-MultiModal/README.md) | [ਨੋਟਬੁੱਕ](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 21 | [ਜੀਨੇਟਿਕ ਅਲਗੋਰਿਦਮ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ਨੋਟਬੁੱਕ](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [ਗਹਿਰਾ ਰੀਇਨਫੋਰਸਮੈਂਟ ਲਰਨਿੰਗ](./lessons/6-Other/22-DeepRL/README.md) | [ਪਾਈਟੌਰਚ](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[ਟੈਂਸਰਫਲੋ](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [ਲੇਬ](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [ਮਲਟੀ-ਏਜੰਟ ਪ੍ਰਣਾਲੀਆਂ](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **ਏਆਈ ਆਦਰਸ਼** | | | +| 24 | [ਏਆਈ ਆਦਰਸ਼ ਅਤੇ ਜ਼ਿੰਮੇਵਾਰ ਏਆਈ](./lessons/7-Ethics/README.md) | [ਮਾਈਕਰੋਸਾਫਟ ਲਰਨ: ਜ਼ਿੰਮੇਵਾਰ ਏਆਈ ਸਿਧਾਂਤ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **ਵਾਧੂ ਸਮੱਗਰੀ** | | | +| 25 | [ਮਲਟੀ-ਮਾਡਲ ਨੈੱਟਵਰਕਸ, ਕਲਿਪ ਅਤੇ ਵੀਕਿਊਜੀਏਨ](./lessons/X-Extras/X1-MultiModal/README.md) | [ਨੋਟਬੁੱਕ](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## ਹਰ ਪਾਠ ਵਿੱਚ ਸ਼ਾਮਲ ਹੈ +* ਪੜ੍ਹਨ ਤੋਂ ਪਹਿਲਾਂ ਸਮੱਗਰੀ +* ਚਲਾਉਣ ਯੋਗ ਜੂਪੀਟਰ ਨੋਟਬੁੱਕ, ਜੋ ਅਕਸਰ ਫਰੇਮਵਰਕ (**PyTorch** ਜਾਂ **TensorFlow**) ਲਈ ਖਾਸ ਹੁੰਦੇ ਹਨ। ਚਲਾਉਣ ਯੋਗ ਨੋਟਬੁੱਕ ਵਿੱਚ ਬਹੁਤ ਸਾਰਾ ਸਿਧਾਂਤਕ ਸਮੱਗਰੀ ਵੀ ਹੁੰਦੀ ਹੈ, ਇਸ ਲਈ ਵਿਸ਼ੇ ਨੂੰ ਸਮਝਣ ਲਈ ਤੁਹਾਨੂੰ ਘੱਟੋ-ਘੱਟ ਇੱਕ ਵਰਜਨ ਦੇ ਨੋਟਬੁੱਕ ਨੂੰ (PyTorch ਜਾਂ TensorFlow ਵਿੱਚੋਂ) ਦੇਖਣਾ ਚਾਹੀਦਾ ਹੈ। +* ਕੁਝ ਵਿਸ਼ਿਆਂ ਲਈ ਉਪਲੱਬਧ **Labs**, ਜੋ ਤੁਹਾਨੂੰ ਸਿੱਖੀ ਹੋਈ ਸਮੱਗਰੀ ਨੂੰ ਇੱਕ ਵਿਸ਼ੇਸ਼ ਸਮੱਸਿਆ 'ਤੇ ਲਾਗੂ ਕਰਨ ਦਾ ਮੌਕਾ ਦਿੰਦੇ ਹਨ। +* ਕੁਝ ਹਿੱਸੇ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ਮੋਡੀਊਲਾਂ ਲਈ ਲਿੰਕ ਸ਼ਾਮਲ ਕਰਦੇ ਹਨ ਜੋ ਸੰਬੰਧਤ ਵਿਸ਼ਿਆਂ ਨੂੰ ਕਵਰ ਕਰਦੇ ਹਨ। -* ਪੜ੍ਹਾਈ ਤੋਂ ਪਹਿਲਾਂ ਦਾ ਸਮਗਰੀ -* ਚੱਲਣ ਯੋਗ ਜੁਪਾਈਟਰ ਨੋਟਬੁੱਕਸ, ਜੋ ਅਕਸਰ ਫਰੇਮਵਰਕ (**ਪਾਇਟੋਰਚ** ਜਾਂ **ਟੈਂਸਰਫਲੋ**) ਲਈ ਖਾਸ ਹੁੰਦੇ ਹਨ। ਚੱਲਣ ਯੋਗ ਨੋਟਬੁੱਕ ਵਿਚ ਬਹੁਤ ਸਿਧਾਂਤੀ ਸਮੱਗਰੀ ਵੀ ਹੁੰਦੀ ਹੈ, ਇਸ ਲਈ ਵਿਸ਼ੇ ਨੂੰ ਸਮਝਣ ਲਈ ਤੁਹਾਨੂੰ ਘੱਟੋ-ਘੱਟ ਇੱਕ ਨੋਟਬੁੱਕ (ਪਾਇਟੋਰਚ ਜਾਂ ਟੈਂਸਰਫਲੋ) ਦੇ ਵਰਜਨ ਵਿਚੋਂ ਇੱਕ ਨੂੰ ਸਮਝਣਾ ਪੈਣਾ ਹੈ। -* ਕੁਝ ਵਿਸ਼ਿਆਂ ਲਈ **ਲੈਬਾਂ** ਉਪਲਬਧ ਹਨ, ਜੋ ਤੁਹਾਨੂੰ ਸਿੱਖੇ ਹੋਏ ਸਮਗਰੀ ਨੂੰ ਕਿਸੇ ਖਾਸ ਸਮੱਸਿਆ 'ਤੇ ਲਾਗੂ ਕਰਨ ਦਾ ਮੌਕਾ ਦਿੰਦੇ ਹਨ। -* ਕੁਝ ਸੈਕਸ਼ਨਾਂ ਵਿੱਚ [**ਐਮਐਸ ਲਰਨ**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ਮੋਡਿਊਲਾਂ ਦੇ ਲਿੰਕ ਹਨ ਜੋ ਸੰਬੰਧਤ ਵਿਸ਼ਿਆਂ ਨੂੰ ਕਵਰ ਕਰਦੇ ਹਨ। +## ਸ਼ੁਰੂਆਤ ਕਰੋ -## ਸ਼ੁਰੂਆਤ ਕਰਨਾ +### 🎯 AI ਵਿੱਚ ਨਵਾਂ? ਇੱਥੇ ਸ਼ੁਰੂ ਕਰੋ! -### 🎯 ਏਆਈ ਵਿੱਚ ਨਵਾਂ? ਇੱਥੇ ਸ਼ੁਰੂ ਕਰੋ! +ਜੇ ਤੁਸੀਂ ਪੂਰੀ ਤਰ੍ਹਾਂ AI ਵਿੱਚ ਨਵਾਂ ਹੋ ਅਤੇ ਛੇਤੀ, ਹੱਥੋਂ-ਹੱਥ ਉਦਾਹਰਣਾਂ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਸਾਡੇ [**ਆਰੰਭਕ-ਮਿੱਤਰ ਉਦਾਹਰਣਾਂ**](./examples/README.md) ਨੂੰ ਦੇਖੋ! ਇਨ੍ਹਾਂ ਵਿੱਚ ਸ਼ਾਮਲ ਹਨ: -ਜੇ ਤੁਸੀਂ ਏਆਈ ਵਿੱਚ ਬਿਲਕੁਲ ਨਵੇਂ ਹੋ ਅਤੇ ਤੇਜ਼, ਹੱਥ-ਇੱਲਾਜ਼ ਵਾਲੇ ਉਦਾਹਰਣ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਸਾਡੇ [**ਨਵੀਂਆ ਵੇਖਦੀਆਂ ਉਦਾਹਰਣਾਂ**](./examples/README.md) ਨੂੰ ਵੇਖੋ! ਇਹ ਸ਼ਾਮਲ ਹਨ: +- 🌟 **ਹੈਲੋ AI ਵਰਲਡ** - ਤੁਹਾਡਾ ਪਹਿਲਾ AI ਪ੍ਰੋਗਰਾਮ (ਪੈਟਰਨ ਪਹਚਾਣ) +- 🧠 **ਸੂਖਮ ਨਿਊਰਲ ਨੈੱਟਵਰਕ** - ਸ਼ੁਰੂਆਤੀ ਤੋਂ ਨਿਊਰਲ ਨੈੱਟਵਰਕ ਬਣਾਓ +- 🖼️ **ਚਿੱਤਰ ਵਰਗੀਕਰਨ** - ਵਿਸਥਾਰ ਨਾਲ ਟਿੱਪਣੀਆਂ ਨਾਲ ਤਸਵੀਰਾਂ ਨੂੰ ਵਰਗੀਕ੍ਰਿਤ ਕਰੋ +- 💬 **ਟੈਕਸਟ ਸੰਵੇਦਨਾ** - ਧਨਾਤਮਕ/ਨਕਾਰਾਤਮਕ ਟੈਕਸਟ ਦਾ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰੋ -- 🌟 **ਹੈਲੋ ਏਆਈ ਵਰਲਡ** - ਤੁਹਾਡਾ ਪਹਿਲਾ ਏਆਈ ਪ੍ਰੋਗਰਾਮ (ਪੈਟਰਨ ਪਹਿਚਾਣ) -- 🧠 **ਸਾਦਾ ਨਿਊਰਲ ਨੈੱਟਵਰਕ** - ਖ਼ਾਲੀ ਜਗ੍ਹਾ ਤੋਂ ਨਿਊਰਲ ਨੈੱਟਵਰਕ ਬਣਾਉ +ਇਹ ਉਦਾਹਰਣ AI ਸੰਕਲਪਾਂ ਨੂੰ ਸਮਝਣ ਵਿੱਚ ਤੁਹਾਡੀ ਸਹਾਇਤਾ ਲਈ ਡਿਜ਼ਾਇਨ ਕੀਤੇ ਗਏ ਹਨ ਇਸ ਲਈ ਪੂਰੇ ਕੋਰਸ ਵਿੱਚ ਜਾਣ ਤੋਂ ਪਹਿਲਾਂ। -- 🖼️ **ਛবি ਵਰਗੀਕਰਤਾ** - ਵਿਸਥਾਰਿਤ ਟਿੱਪਣੀ ਨਾਲ ਛਬੀਆਂ ਨੂੰ ਵਰਗੀਕ੍ਰਿਤ ਕਰੋ -- 💬 **ਲਿਖਤੀ ਭਾਵਨਾ** - ਸਕਾਰਾਤਮਕ/ਨਕਾਰਾਤਮਕ ਲਿਖਤੀ ਵਿਚਾਰ ਵਿਸ਼ਲੇਸ਼ਣ ਕਰੋ +### 📚 ਪੂਰਾ ਕੋਰਸ ਸੈੱਟਅਪ -ਇਹ ਉਦਾਹਰਣ ਤੁਹਾਨੂੰ ਪੂਰੇ ਪਾਠਕ੍ਰਮ ਵਿੱਚ ਡੁੱਬਣ ਤੋਂ ਪਹਿਲਾਂ AI ਧਾਰਨਾਵਾਂ ਨੂੰ ਸਮਝਣ ਵਿੱਚ ਮਦਦ ਕਰਨ ਲਈ ਬਣਾਏ ਗਏ ਹਨ। +- ਅਸੀਂ ਤੁਹਾਡੇ ਵਿਕਾਸ ਵਾਤਾਵਰਨ ਸੈੱਟਅਪ ਕਰਨ ਲਈ ਇੱਕ [ਸੈੱਟਅਪ ਪਾਠ](./lessons/0-course-setup/setup.md) ਬਣਾਇਆ ਹੈ। - ਅਧਿਆਪਕਾਂ ਲਈ ਅਸੀਂ ਤੁਹਾਡੇ ਲਈ ਇੱਕ [ਕੋਰਸ ਸੈੱਟਅਪ ਪਾਠ](./lessons/0-course-setup/for-teachers.md) ਵੀ ਬਣਾਇਆ ਹੈ! +- [VSCode ਜਾਂ Codespace ਵਿੱਚ ਕੋਡ ਕਿਵੇਂ ਚਲਾਇਆ ਜਾਵੇ](./lessons/0-course-setup/how-to-run.md) -### 📚 ਪੂਰਾ ਪਾਠਕ੍ਰਮ ਸੈੱਟਅੱਪ +ਇਹ ਕਦਮ ਫੋਲੋ ਕਰੋ: -- ਅਸੀਂ ਤੁਹਾਡੀ ਵਿਕਾਸ ਮਾਹੌਲ ਸੈੱਟਅੱਪ ਕਰਨ ਵਿੱਚ ਮਦਦ ਲਈ ਇੱਕ [ਸੈੱਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/setup.md) ਬਣਾਇਆ ਹੈ। - ਸਿੱਖਿਆਕਾਰਾਂ ਲਈ ਵੀ ਅਸੀਂ ਇੱਕ [ਪਾਠਕ੍ਰਮ ਸੈੱਟਅੱਪ ਪਾਠ](./lessons/0-course-setup/for-teachers.md) ਬਣਾਇਆ ਹੈ! -- ਕਿਵੇਂ [VSCode ਜਾਂ Codespace ਵਿੱਚ ਕੋਡ ਚਲਾਉਣਾ ਹੈ](./lessons/0-course-setup/how-to-run.md) +ਰੈਪੋਜ਼ੀਟਰੀ ਦੀ ਫੋਰਕਿੰਗ ਕਰੋਂ: ਇਸ ਪੰਨੇ ਦੇ ਸੱਜੇ-ਵੱਖਰੇ ਕੋਨੇ 'Fork' ਬਟਨ 'ਤੇ ਕਲਿੱਕ ਕਰੋ। -ਇਹਨਾਂ ਕਦਮਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ: +ਰੈਪੋਜ਼ੀਟਰੀ ਕਲੋਨ ਕਰੋ: `git clone https://github.com/microsoft/AI-For-Beginners.git` -ਰੈਪੋਜ਼ਟਰੀ ਫਾਰਕ ਕਰੋ: ਇਸ ਸਫ਼ੇ ਦੇ ਉੱਪਰ-ਸੱਜੇ ਕੋਨੇ ਵਿੱਚ "Fork" ਬਟਨ ਤੇ ਕਲਿੱਕ ਕਰੋ। - -ਰੈਪੋਜ਼ਟਰੀ ਕਲੋਨ ਕਰੋ: `git clone https://github.com/microsoft/AI-For-Beginners.git` - -ਇਸ ਰੈਪੋਜ਼ਟਰੀ ਨੂੰ ਬਾਅਦ ਵਿੱਚ ਸੌਖਾ ਲੱਭਣ ਲਈ ਸਿਤਾਰਾ (🌟) ਕਰਨਾ ਨਾ ਭੁੱਲੋ। +ਇਸ ਰੈਪੋ (🌟) ਨੂੰ ਸਟਾਰ ਕਰਨਾ ਨਾ ਭੁੱਲੋ ਤਾਂ ਜੋ ਤੁਸੀਂ ਇਸਨੂੰ ਅੱਗੇ ਚੂਕਣਾ ਆਸਾਨੀ ਨਾਲ ਕਰ ਸਕੋ। ## ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਨਾਲ ਮਿਲੋ -ਸਾਡੇ [ਅਧਿਕਾਰਕ AI Discord ਸਰਵਰ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ਵਿੱਚ ਸ਼ਾਮਲ ਹੋਵੋ ਅਤੇ ਇਸ ਕੋਰਸ ਨੂੰ ਲੈ ਰਹੇ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਨਾਲ ਜੁੜੋ ਅਤੇ ਸਹਾਇਤਾ ਪ੍ਰਾਪਤ ਕਰੋ। +ਸਾਡੇ [ਆਧਿਕਾਰਕ AI ਡਿਸਕੋਰਡ ਸਰਵਰ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ਵਿੱਚ ਸ਼ਾਮਿਲ ਹੋਵੋ, ਜਿੱਥੇ ਤੁਸੀਂ ਇਸ ਕੋਰਸ ਨੂੰ ਲੈ ਰਹੇ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਨਾਲ ਮਿਲ ਸਕਦੇ ਹੋ, ਨੈੱਟਵਰਕਿੰਗ ਕਰ ਸਕਦੇ ਹੋ ਅਤੇ ਸਮਰਥਨ ਪ੍ਰਾਪਤ ਕਰ ਸਕਦੇ ਹੋ। -ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਫੀਡਬੈਕ ਜਾਂ ਪ੍ਰਸ਼ਨ ਹਨ ਤਾਂ ਸਾਡੇ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) 'ਤੇ ਜਾਓ। +ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਪ੍ਰਤੀਕ੍ਰਿਆ ਜਾਂ ਬਿਲਡਿੰਗ ਦੌਰਾਨ ਕੋਈ ਸਵਾਲ ਹਨ ਤਾਂ ਸਾਡੇ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ਵੇਖੋ। -## ਕੁਈਜ਼ +## ਕੁਇਜ਼ -> **ਕੁਈਜ਼ ਬਾਰੇ ਇੱਕ ਨੋਟ**: ਸਾਰੇ ਕੁਈਜ਼ Quiz-app ਫੋਲਡਰ ਵਿੱਚ ਵਾਪਰੇ ਹਨ, ਜਿਵੇਂ ਕਿ etc\quiz-app, ਜਾਂ [ਅਨਲਾਈਨ ਇੱਥੇ](https://ff-quizzes.netlify.app/)। ਇਹ ਪਾਠਾਂ ਦੇ ਅੰਦਰ ਲਿੰਕ ਕੀਤੇ ਗਏ ਹਨ। ਕੁਈਜ਼ ਐਪ ਨੂੰ ਸਥਾਨਕ ਰੂਪ ਵਿੱਚ ਚਲਾਇਆ ਜਾ ਸਕਦਾ ਹੈ ਜਾਂ Azure 'ਤੇ ਤੈਨਾਤ ਕੀਤਾ ਜਾ ਸਕਦਾ ਹੈ; `quiz-app` ਫੋਲਡਰ ਵਿੱਚ ਦਿੱਤੀਆਂ ਹਦਾਇਤਾਂ ਦੀ ਪਾਲਣਾ ਕਰੋ। ਇਹ ਜਿਰੋਰੀ ਹੈ ਕਿ ਆਹਲੇ ਆਹਲੇ ਇਨ੍ਹਾਂ ਨੂੰ ਸਥਾਨਕ ਕਿੱਝ ਬਣਾਇਆ ਜਾ ਰਿਹਾ ਹੈ। +> **ਕੁਇਜ਼ ਬਾਰੇ ਨੋਟ**: ਸਾਰੇ ਕੁਇਜ਼ `etc\quiz-app` ਫੋਲਡਰ ਵਿੱਚ Quiz-app ਫੋਲਡਰ ਦੇ ਅੰਦਰ ਹਨ, ਜਾਂ [ਇੱਥੇ ਆਨਲਾਈਨ](https://ff-quizzes.netlify.app/) ਉਪਲੱਬਧ ਹਨ। ਇਹਨਾਂ ਨੂੰ ਪਾਠਾਂ ਵਿੱਚ ਲਿੰਕ ਕੀਤਾ ਗਿਆ ਹੈ, ਕੁਇਜ਼ ਐਪ ਨੂੰ ਲੋਕਲੀ ਚਲਾਇਆ ਜਾ ਸਕਦਾ ਹੈ ਜਾਂ Azure 'ਤੇ ਡਿਪਲਾਇ ਕੀਤਾ ਜਾ ਸਕਦਾ ਹੈ; `quiz-app` ਫੋਲਡਰ ਵਿੱਚ ਹੁਕਮਾਂ ਦਾ ਪਾਲਣ ਕਰੋ। ਇਹ ਹੌਲੀ-ਹੌਲੀ ਲੋਕਲਾਈਜ਼ ਕੀਤੇ ਜਾ ਰਹੇ ਹਨ। ## ਮਦਦ ਦੀ ਲੋੜ -ਕੀ ਤੁਹਾਡੇ ਕੋਲ ਸੁਝਾਵ ਹਨ ਜਾਂ ਤੁਸੀਂ ਸਪੈਲਿੰਗ ਜਾਂ ਕੋਡ ਗਲਤੀਆਂ ਲੱਭੀਆਂ ਹਨ? ਇੱਕ ਇਸ਼ਯੂ ਉਠਾਓ ਜਾਂ ਪੁਲ ਰਿਕਵੇਸਟ ਬਣਾਓ। +ਕੀ ਤੁਹਾਡੇ ਕੋਲ ਸੁਝਾਅ ਹਨ ਜਾਂ ਤੁਸੀਂ ਟਾਈਪਿੰਗ ਜਾਂ ਕੋਡ ਦੀਆਂ ਗਲਤੀਆਂ ਲੱਭੀਆਂ ਹਨ? ਇੱਕ ਇਸ਼ੂ ਉਠਾਓ ਜਾਂ ਪੁਲ ਰਿਕਵੈਸਟ ਬਣਾਓ। ## ਵਿਸ਼ੇਸ਼ ਧੰਨਵਾਦ -* **✍️ ਪ੍ਰਮੁੱਖ ਲੇਖਕ:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ ਮੁੱਖ ਲੇਖਕ:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 ਸੰਪਾਦਕ:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 ਸਕੈਚਨੋਟ ਚਿੱਤਰਕਾਰ:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ ਕੁਈਜ਼ ਸਿਰਜਣਹਾਰ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 ਮੁਖਿ ਯੋਗਦਾਨਕਾਰ:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🎨 ਸਕੈਚਨੋਟ ਇਲਸਟ੍ਰੇਟਰ:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ ਕੁਇਜ਼ ਰਚਨਹਾਰ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 ਮੁੱਖ ਯੋਗਦਾਨਕਾਰਕ:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## ਹੋਰ ਪਾਠਕ੍ਰਮ +## ਹੋਰ ਕੋਰਸ -ਸਾਡੀ ਟੀਮ ਹੋਰ ਪਾਠਕ੍ਰਮ ਵੀ ਤਿਆਰ ਕਰਦੀ ਹੈ! ਵੇਖੋ: +ਸਾਡੀ ਟੀਮ ਹੋਰ ਕੋਰਸ ਵੀ ਉਪਲੱਬਧ ਕਰਵਾਉਂਦੀ ਹੈ! ਇਨ੍ਹਾਂ ਨੂੰ ਵੇਖੋ: ### LangChain @@ -207,13 +215,13 @@ _ਕਲਾਉਡ ਵਿੱਚ AI_ ਬਾਰੇ ਇੱਕ ਨਰਮ ਪਰਿਚ [![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) -## ਮਦਦ ਪ੍ਰਾਪਤ ਕਰਨਾ +## ਮਦਦ ਪ੍ਰਾਪਤ ਕਰੋ -ਜੇ ਤੁਸੀਂ ਫਸ ਗਏ ਹੋ ਜਾਂ AI ਐਪ ਬਣਾਉਣ ਬਾਰੇ ਕੋਈ ਪ੍ਰਸ਼ਨ ਹਨ, ਤਾਂ MCP ਬਾਰੇ ਚਰਚਾ ਕਰਨ ਲਈ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਅਤੇ ਤਜਰਬੇਕਾਰ ਵਿਕਾਸਕਾਰਾਂ ਦੇ ਨਾਲ ਸ਼ਾਮਲ ਹੋਵੋ। ਇਹ ਇੱਕ ਸਹਾਇਕ ਸਮੁਦਾਇ ਹੈ ਜਿੱਥੇ ਪ੍ਰਸ਼ਨ ਸਵਾਗਤਯੋਗ ਹਨ ਅਤੇ ਗਿਆਨ ਖੁੱਲ੍ਹੇ ਦਿਲ ਨਾਲ ਸਾਂਝਾ ਕੀਤਾ ਜਾਂਦਾ ਹੈ। +ਜੇ ਤੁਸੀਂ ਫਸ ਜਾਂਦੇ ਹੋ ਜਾਂ AI ਐਪ ਬਣਾਉਣ ਦੌਰਾਨ ਕੋਈ ਸਵਾਲ ਹਨ, ਤਾਂ MCP ਬਾਰੇ ਚਰਚਾਵਾਂ ਵਿੱਚ ਹੋਰ ਸਿੱਖਣ ਵਾਲਿਆਂ ਅਤੇ ਅਨੁਭਵੀ ਵਿਕਾਸਕਾਰਾਂ ਨਾਲ ਜੁੜੋ। ਇਹ ਇਕ ਸਹਿਯੋਗੀ ਕਮੇਊਨਿਟੀ ਹੈ ਜਿੱਥੇ ਸਵਾਲਾਂ ਦਾ ਸਵਾਗਤ ਹੁੰਦਾ ਹੈ ਅਤੇ ਗਿਆਨ ਮੁਹੱਈਆ ਕੀਤਾ ਜਾਂਦਾ ਹੈ। [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਫੀਡਬੈਕ ਜਾਂ ਗਲਤੀਆਂ ਹਨ ਤਾਂ ਇੱਥੇ ਜਾਓ: +ਜੇ ਤੁਹਾਡੇ ਕੋਲ ਉਤਪਾਦ ਪ੍ਰਤੀਕ੍ਰਿਆ ਜਾਂ ਗਲਤੀਆਂ ਹਨ ਤਾਂ: [![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) @@ -221,5 +229,5 @@ _ਕਲਾਉਡ ਵਿੱਚ AI_ ਬਾਰੇ ਇੱਕ ਨਰਮ ਪਰਿਚ **ਡਿਸਕਲੇਮਰ**: -ਇਹ ਦਸਤਾਵੇਜ਼ ਏਆਈ ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦਿਤ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀਤਾ ਲਈ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਵਿੱਚ ਰੱਖੋ ਕਿ ਸਵਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਣਸਹੀਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਆਪਣੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਹੀ ਪ੍ਰਮਾਣਿਕ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਜ਼ਰੂਰੀ ਜਾਣਕਾਰੀ ਲਈ ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਸਿਫ਼ਾਰਸ਼ੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਨਾਲ ਉਪੱਜਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਦੀ ਜ਼ਿੰਮੇਵਾਰੀ ਅਸੀਂ ਨਹੀਂ ਲੈਂਦੇ। +ਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਨਾਲ ਅਨੁਵਾਦਿਤ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀਤਾ ਲਈ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਜਾਣੋ ਕਿ ਆਪਣੇ ਆਪ ਹੋਣ ਵਾਲੇ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸਮਰਥਿਤਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਆਪਣੇ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਪ੍ਰਮਾਣਿਕ ਸਰੋਤ ਵਜੋਂ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਅਸੀਂ ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਉਤਪੰਨ ਹੋਣ ਵਾਲੀਆਂ ਕਿਸੇ ਵੀ ਗਲਤ ਫਹਿਮੀਆਂ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆਵਾਂ ਲਈ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ। \ No newline at end of file diff --git a/translations/pa/lessons/2-Symbolic/MSConceptGraph.ipynb b/translations/pa/lessons/2-Symbolic/MSConceptGraph.ipynb index a7f0c267..d0492c08 100644 --- a/translations/pa/lessons/2-Symbolic/MSConceptGraph.ipynb +++ b/translations/pa/lessons/2-Symbolic/MSConceptGraph.ipynb @@ -1,539 +1,532 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## ਮਾਈਕਰੋਸਾਫਟ ਕਾਂਸੈਪਟ ਗ੍ਰਾਫ - ਇਹ API ਹੁਣ ਉਪਲਬਧ ਨਹੀਂ ਹੈ ਪਰ ਕਿਰਪਾ ਕਰਕੇ ਕਾਂਸੈਪਟ ਨੂੰ ਸਮਝਣ ਲਈ ਨੋਟਬੁੱਕ ਵੇਖੋ\n", - "\n", - "[ਮਾਈਕਰੋਸਾਫਟ ਕਾਂਸੈਪਟ ਗ੍ਰਾਫ](https://concept.research.microsoft.com/) ਇੰਟਰਨੈਟ ਤੋਂ ਪ੍ਰਾਪਤ ਕੀਤੇ ਗਏ ਸ਼ਬਦਾਂ ਦਾ ਇੱਕ ਵੱਡਾ ਟੈਕਸੋਨੋਮੀ ਹੈ, ਜਿਸ ਵਿੱਚ ਕਾਂਸੈਪਟਾਂ ਦੇ ਵਿਚਕਾਰ `is-a` ਸੰਬੰਧ ਹਨ।\n", - "\n", - "ਕਾਂਟੈਕਸਟ ਗ੍ਰਾਫ ਦੋ ਰੂਪਾਂ ਵਿੱਚ ਉਪਲਬਧ ਹੈ:\n", - " * ਡਾਊਨਲੋਡ ਲਈ ਵੱਡੀ ਟੈਕਸਟ ਫਾਈਲ\n", - " * REST API\n", - "\n", - "ਅੰਕੜੇ:\n", - " * 5401933 ਵਿਲੱਖਣ ਕਾਂਸੈਪਟ\n", - " * 12551613 ਵਿਲੱਖਣ ਉਦਾਹਰਨਾਂ\n", - " * 87603947 `is-a` ਸੰਬੰਧ\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## ਵੈੱਬ ਸੇਵਾ ਦੀ ਵਰਤੋਂ\n", - "\n", - "ਵੈੱਬ ਸੇਵਾ ਵੱਖ-ਵੱਖ ਗਰੁੱਪਾਂ ਵਿੱਚ ਕਿਸੇ ਧਾਰਨਾ ਦੇ ਸਬੰਧਿਤ ਹੋਣ ਦੀ ਸੰਭਾਵਨਾ ਦਾ ਅੰਦਾਜ਼ਾ ਲਗਾਉਣ ਲਈ ਵੱਖ-ਵੱਖ ਕਾਲਾਂ ਦੀ ਪੇਸ਼ਕਸ਼ ਕਰਦੀ ਹੈ। ਹੋਰ ਜਾਣਕਾਰੀ [ਇੱਥੇ](https://concept.research.microsoft.com/Home/Api) ਉਪਲਬਧ ਹੈ। \n", - "ਇਹ ਕਾਲ ਕਰਨ ਲਈ ਨਮੂਨਾ URL ਹੈ: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import urllib\n", - "import json\n", - "\n", - "def http(x):\n", - " response = urllib.request.urlopen(x)\n", - " data = response.read()\n", - " return data.decode('utf-8')\n", - "\n", - "def query(x):\n", - " concept = x.lower().replace(' ', '_')\n", - " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", - " urllib.parse.quote(concept))\n", - " try:\n", - " result = json.loads(http(url))\n", - " except Exception:\n", - " return {}\n", - " edges = result.get('edges', [])\n", - " if not edges:\n", - " return {}\n", - " total_weight = sum(edge['weight'] for edge in edges)\n", - " if total_weight == 0:\n", - " return {}\n", - " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", - "\n", - "query('microsoft')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ਆਓ ਖ਼ਬਰਾਂ ਦੇ ਸਿਰਲੇਖਾਂ ਨੂੰ ਮਾਪੇ ਧਾਰਨਾਵਾਂ ਦੇ ਅਧਾਰ 'ਤੇ ਸ਼੍ਰੇਣੀਬੱਧ ਕਰਨ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰੀਏ। ਖ਼ਬਰਾਂ ਦੇ ਸਿਰਲੇਖ ਪ੍ਰਾਪਤ ਕਰਨ ਲਈ, ਅਸੀਂ [NewsApi.org](http://newsapi.org) ਸੇਵਾ ਦੀ ਵਰਤੋਂ ਕਰਾਂਗੇ। ਸੇਵਾ ਦੀ ਵਰਤੋਂ ਕਰਨ ਲਈ ਤੁਹਾਨੂੰ ਆਪਣਾ API ਕੁੰਜੀ ਪ੍ਰਾਪਤ ਕਰਨੀ ਪਵੇਗੀ - ਵੈਬਸਾਈਟ 'ਤੇ ਜਾਓ ਅਤੇ ਮੁਫ਼ਤ ਡਿਵੈਲਪਰ ਯੋਜਨਾ ਲਈ ਰਜਿਸਟਰ ਕਰੋ।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "newsapi_key = ''\n", - "def get_news(country='us'):\n", - " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", - " return res['articles']\n", - "\n", - "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", - " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", - " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", - " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", - " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", - " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", - " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", - " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", - " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", - " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", - " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", - " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", - " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", - " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", - " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", - " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", - " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", - " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", - " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", - " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", - " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", - " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", - " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", - " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", - " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", - " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", - " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", - " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", - " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", - " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", - " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", - " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", - " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", - " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", - " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", - " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", - " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "all_titles" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ਸਭ ਤੋਂ ਪਹਿਲਾਂ, ਅਸੀਂ ਖਬਰਾਂ ਦੇ ਸਿਰਲੇਖਾਂ ਵਿੱਚੋਂ ਨਾਂਵਾਂ ਕੱਢਣ ਦੇ ਯੋਗ ਹੋਣਾ ਚਾਹੁੰਦੇ ਹਾਂ। ਅਸੀਂ ਇਹ ਕਰਨ ਲਈ `TextBlob` ਲਾਇਬ੍ਰੇਰੀ ਦੀ ਵਰਤੋਂ ਕਰਾਂਗੇ, ਜੋ ਇਸ ਤਰ੍ਹਾਂ ਦੇ ਆਮ NLP ਕੰਮਾਂ ਨੂੰ ਬਹੁਤ ਸਧਾਰਨ ਬਣਾਉਂਦੀ ਹੈ।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", - "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", - "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", - "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", - "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", - "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", - "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", - "Finished.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[nltk_data] Downloading package brown to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package brown is already up-to-date!\n", - "[nltk_data] Downloading package punkt to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package punkt is already up-to-date!\n", - "[nltk_data] Downloading package wordnet to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package wordnet is already up-to-date!\n", - "[nltk_data] Downloading package averaged_perceptron_tagger to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", - "[nltk_data] date!\n", - "[nltk_data] Downloading package conll2000 to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package conll2000 is already up-to-date!\n", - "[nltk_data] Downloading package movie_reviews to\n", - "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", - "[nltk_data] Package movie_reviews is already up-to-date!\n" - ] - } - ], - "source": [ - "import sys\n", - "!{sys.executable} -m pip install textblob\n", - "!{sys.executable} -m textblob.download_corpora\n", - "from textblob import TextBlob" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'covid-19 live updates': 1,\n", - " 'vaccines': 1,\n", - " 'boosters': 1,\n", - " 'york': 4,\n", - " 'ukrainians flee mariupol': 1,\n", - " 'forces push': 1,\n", - " 'port city': 1,\n", - " 'wall street journal': 3,\n", - " 'bond yields': 1,\n", - " 'futures rise': 1,\n", - " 'powell says fed': 1,\n", - " 'ready': 1,\n", - " 'be': 1,\n", - " 'aggressive': 1,\n", - " 'putin': 3,\n", - " 'alexei navalny': 2,\n", - " 'russian': 2,\n", - " 'supreme court nominee': 1,\n", - " 'ketanji brown jackson': 1,\n", - " \"confirmation hearing 's\": 1,\n", - " 'cnn': 1,\n", - " 'swedish': 1,\n", - " 'high school': 1,\n", - " 'abc': 1,\n", - " 'clues': 1,\n", - " 'covid-19': 1,\n", - " '’ s': 2,\n", - " 'moves': 1,\n", - " 'sewers': 1,\n", - " 'roll dice': 1,\n", - " 'jackson': 1,\n", - " 'decisions |': 1,\n", - " 'thehill': 1,\n", - " 'clear': 2,\n", - " 'chemical weapons': 2,\n", - " 'ukraine': 3,\n", - " 'claims president': 2,\n", - " 'biden': 2,\n", - " 'nasa': 2,\n", - " 'solar system': 2,\n", - " 'daily mail': 3,\n", - " 'us stocks': 1,\n", - " 'fed chair powell': 1,\n", - " \"'s remarks\": 1,\n", - " 'fox': 1,\n", - " \"'we 've\": 1,\n", - " 'tests': 1,\n", - " 'covid': 1,\n", - " 'politico': 1,\n", - " 'duchess': 1,\n", - " 'cambridge': 1,\n", - " 'swaps khaki jungle gear': 1,\n", - " 'vampire': 1,\n", - " 'wife': 1,\n", - " 'belize': 1,\n", - " 'china': 2,\n", - " 'flight recorders': 1,\n", - " 'plane crash': 1,\n", - " 'reuters': 2,\n", - " 'russian oligarch': 1,\n", - " 'abramovich': 1,\n", - " 'live': 1,\n", - " 'russia': 2,\n", - " 'stops talks': 1,\n", - " 'japan': 1,\n", - " 'español': 1,\n", - " 'powers remain': 1,\n", - " 'threats lurk': 1,\n", - " 'set': 1,\n", - " 'webb': 1,\n", - " 'telescope begins multi-instrument alignment': 1,\n", - " 'scitechdaily': 1,\n", - " 'uconn': 1,\n", - " 'ucf': 1,\n", - " 'ncaa': 1,\n", - " \"women 's tournament second-round highlights\": 1,\n", - " 'march madness': 1,\n", - " 'bucking republican trend': 1,\n", - " 'indiana': 1,\n", - " 'vetoes transgender': 1,\n", - " 'bill': 1,\n", - " 'maggie fox': 1,\n", - " 'coronation': 1,\n", - " 'shameless': 1,\n", - " \"'sudden accident\": 1,\n", - " 'mirror online': 1,\n", - " 'mirror': 2,\n", - " 'plane crash –': 1,\n", - " 'search': 1,\n", - " 'moment flight': 1,\n", - " 'daniel morgan': 1,\n", - " 'report condemns': 1,\n", - " 'met': 1,\n", - " 'guardian': 6,\n", - " 'rishi sunak': 1,\n", - " '’ s spring': 1,\n", - " 'statement': 1,\n", - " 'bbc.com': 1,\n", - " 'uk': 3,\n", - " 'ireland': 1,\n", - " 'euro': 1,\n", - " 'vladimir putin': 2,\n", - " \"'s 'lover\": 1,\n", - " 'brass eye': 1,\n", - " '’ s outtakes': 1,\n", - " 'brutal tv comedy': 1,\n", - " 'threatens civilians': 1,\n", - " 'mariupol': 1,\n", - " \"'s spirit\": 1,\n", - " 'shell u-turn': 1,\n", - " 'cambo': 1,\n", - " 'green targets': 1,\n", - " 'st helens': 1,\n", - " 'dog attack': 1,\n", - " 'girl': 1,\n", - " 'bbc': 1,\n", - " 'playstation': 1,\n", - " \"'assassin 's\": 1,\n", - " 'creed': 1,\n", - " 'jade raymond': 1,\n", - " 'haven studios': 1,\n", - " 'nme': 1,\n", - " 'nintendo switch': 1,\n", - " 'folders •': 1,\n", - " 'eurogamer.net': 2,\n", - " 'fa': 1,\n", - " 'solution ”': 1,\n", - " 'liverpool': 1,\n", - " 'fan group blasts “ shambolic ”': 1,\n", - " 'wembley': 1,\n", - " 'anfield': 1,\n", - " 'manchester': 1,\n", - " 'live erik': 1,\n", - " 'hag': 1,\n", - " 'utd': 1,\n", - " 'manager updates': 1,\n", - " 'manchester evening': 1,\n", - " 'inflation': 1,\n", - " 'government borrowing': 1,\n", - " 'february': 1,\n", - " 'crude oil': 1,\n", - " '– business': 1,\n", - " 'kremlin': 1,\n", - " 'large-scale fraud': 1,\n", - " 'sky': 1,\n", - " 'natural gas': 1,\n", - " 'gazprom': 1,\n", - " 'retail unit': 1,\n", - " 'insider': 1,\n", - " 'zaghari-ratcliffe': 1,\n", - " 'hunt': 1,\n", - " 'iran': 1,\n", - " 'debt payment': 1}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for n in TextBlob(x).noun_phrases:\n", - " if n in w:\n", - " w[n].append(x)\n", - " else:\n", - " w[n]=[x]\n", - "{ x:len(w[x]) for x in w.keys()}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ਅਸੀਂ ਦੇਖ ਸਕਦੇ ਹਾਂ ਕਿ ਨਾਂਵ ਸਾਨੂੰ ਵੱਡੇ ਥੀਮਾਤਮਕ ਸਮੂਹ ਨਹੀਂ ਦਿੰਦੇ। ਆਓ ਨਾਂਵਾਂ ਨੂੰ ਧਾਰਨਾ ਗ੍ਰਾਫ ਤੋਂ ਪ੍ਰਾਪਤ ਕੀਤੇ ਗਏ ਹੋਰ ਸਧਾਰਨ ਸ਼ਬਦਾਂ ਨਾਲ ਬਦਲਦੇ ਹਾਂ। ਇਹ ਕੁਝ ਸਮਾਂ ਲਵੇਗਾ, ਕਿਉਂਕਿ ਅਸੀਂ ਹਰ ਨਾਂਵ ਵਾਕਾਂਸ਼ ਲਈ REST ਕਾਲ ਕਰ ਰਹੇ ਹਾਂ।\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "w = {}\n", - "for x in all_titles:\n", - " for noun in TextBlob(x).noun_phrases:\n", - " terms = query(noun)\n", - " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", - " if term in w:\n", - " w[term].append(x)\n", - " else:\n", - " w[term]=[x]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'city': 9,\n", - " 'brand': 4,\n", - " 'place': 9,\n", - " 'town': 4,\n", - " 'factor': 4,\n", - " 'film': 4,\n", - " 'nation': 11,\n", - " 'state': 5,\n", - " 'person': 4,\n", - " 'organization': 5,\n", - " 'publication': 10,\n", - " 'market': 5,\n", - " 'economy': 4,\n", - " 'company': 6,\n", - " 'newspaper': 6,\n", - " 'relationship': 6}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "trusted": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ECONOMY:\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "\n", - "NATION:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", - "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", - "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", - "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", - "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", - "\n", - "PERSON:\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", - "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", - "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", - "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" - ] - } - ], - "source": [ - "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", - "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", - "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n---\n\n**ਅਸਵੀਕਰਤਾ**: \nਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਹਾਲਾਂਕਿ ਅਸੀਂ ਸਹੀਤਾ ਲਈ ਯਤਨਸ਼ੀਲ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁੱਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਇਸ ਦਸਤਾਵੇਜ਼ ਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਲਿਖੀ ਗਈ ਮੂਲ ਕਾਪੀ ਨੂੰ ਅਧਿਕਾਰਤ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.4 64-bit (conda)", - "metadata": { - "interpreter": { - "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" - } - }, - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.5" - }, - "coopTranslator": { - "original_hash": "7b3f1fc049371bcf8649ac9fefdf0413", - "translation_date": "2025-10-03T18:53:36+00:00", - "source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb", - "language_code": "pa" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "## ਕਾਂਸੈਪਟ ਗ੍ਰਾਫ ਵਰਤੋਂ ਕਰਕੇ ConceptNet\n", + "\n", + "> **ਨੋਟ:** ਮੂਲ [Microsoft Concept Graph](https://concept.research.microsoft.com/) API ਹੁਣ ਉਪਲਬਧ ਨਹੀਂ ਹੈ। ਇਸ ਨੋਟਬੁੱਕ ਨੂੰ [ConceptNet](https://conceptnet.io/) ਵਰਤਣ ਲਈ ਅਪਡੇਟ ਕੀਤਾ ਗਿਆ ਹੈ, ਜੋ ਕਾਂਸੈਪਟਾਂ ਦੇ ਵਿਚਕਾਰ ਸਮਾਨ `is-a` ਸੰਬੰਧਾਂ ਨਾਲ ਇੱਕ ਮੁਫ਼ਤ ਉਪਲਬਧ ਖੁੱਲ੍ਹਾ ਗਿਆਨ ਗ੍ਰਾਫ ਹੈ।\n", + "\n", + "[ConceptNet](https://conceptnet.io/) ਕਾਂਸੈਪਟਾਂ ਦਾ ਇੱਕ ਵੱਡਾ ਸੇਮਾਂਟਿਕ ਨੈੱਟਵਰਕ ਹੈ ਜਿਸ ਵਿੱਚ `IsA`, `PartOf`, `UsedFor` ਅਤੇ ਹੋਰ ਰਿਸ਼ਤੇ ਹਨ। ਇਹ ਉਪਲਬਧ ਹੈ:\n", + " * ਇੱਕ ਡਾਊਨਲੋਡ ਕਰਨ ਯੋਗ ਡਾਟਾ ਫਾਈਲ ਵੱਜੋਂ\n", + " * ਇੱਕ REST API (ਕੋਈ API ਕੀ ਲੋੜ ਨਹੀਂ)\n", + "\n", + "ConceptNet ਦੇ ਅੰਕੜੇ:\n", + " * 8 ਮਿਲੀਅਨ ਤੋਂ ਵੱਧ ਨੋਡ\n", + " * 83 ਭਾਸ਼ਾਵਾਂ ਵਿੱਚ 21+ ਮਿਲੀਅਨ ਏਜ\n" + ] }, - "nbformat": 4, - "nbformat_minor": 2 + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ConceptNet ਵੈੱਬ ਸਰਵਿਸ ਦੀ ਵਰਤੋਂ\n", + "\n", + "[ConceptNet](https://conceptnet.io/) ਧਾਰਣਾਵਾਂ ਦਰਮਿਆਨ `is-a` (IsA) ਸੰਬੰਧਾਂ ਨੂੰ ਖੋਜਣ ਲਈ REST API ਪ੍ਰਦਾਨ ਕਰਦਾ ਹੈ। ਕਿਸੇ ਵੀ API ਕੀ ਦੀ ਲੋੜ ਨਹੀਂ ਹੈ।\n", + "ਕਾਲ ਕਰਨ ਲਈ ਨਮੂਨਾ URL ਇਹ ਹੈ: `https://api.conceptnet.io/query?start=/c/en/microsoft&rel=/r/IsA&limit=10`\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "import urllib\n", + "import json\n", + "\n", + "def http(x):\n", + " response = urllib.request.urlopen(x)\n", + " data = response.read()\n", + " return data.decode('utf-8')\n", + "\n", + "def query(x):\n", + " concept = x.lower().replace(' ', '_')\n", + " url = \"https://api.conceptnet.io/query?start=/c/en/{}&rel=/r/IsA&limit=10\".format(\n", + " urllib.parse.quote(concept))\n", + " try:\n", + " result = json.loads(http(url))\n", + " except Exception:\n", + " return {}\n", + " edges = result.get('edges', [])\n", + " if not edges:\n", + " return {}\n", + " total_weight = sum(edge['weight'] for edge in edges)\n", + " if total_weight == 0:\n", + " return {}\n", + " return {edge['end']['label']: edge['weight'] / total_weight for edge in edges}\n", + "\n", + "query('microsoft')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ਆਓ ਖ਼ਬਰਾਂ ਦੇ ਸਿਰਲੇਖਾਂ ਨੂੰ ਮੁੱਖ ਧਾਰਣਾਵਾਂ ਦੀ ਵਰਗੀਕਰਨ ਕਰਨ ਦੀ ਕੋਸ਼ਿਸ਼ ਕਰੀਏ। ਖ਼ਬਰਾਂ ਦੇ ਸਿਰਲੇਖ ਪ੍ਰਾਪਤ ਕਰਨ ਲਈ, ਅਸੀਂ [NewsApi.org](http://newsapi.org) ਸੇਵਾ ਦੀ ਵਰਤੋਂ ਕਰਾਂਗੇ। ਸੇਵਾ ਦੀ ਵਰਤੋਂ ਕਰਨ ਲਈ ਤੁਹਾਨੂੰ ਆਪਣੀ API ਕੁੰਜੀ ਪ੍ਰਾਪਤ करनी ਪਵੇਗੀ - ਵੈੱਬਸਾਈਟ 'ਤੇ ਜਾਓ ਅਤੇ ਮੁਫ਼ਤ ਡਿਵੈਲਪਰ ਯੋਜਨਾ ਲਈ ਰਜਿਸਟਰ ਕਰੋ।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "newsapi_key = ''\n", + "def get_news(country='us'):\n", + " res = json.loads(http(\"https://newsapi.org/v2/top-headlines?country={0}&apiKey={1}\".format(country,newsapi_key)))\n", + " return res['articles']\n", + "\n", + "all_titles = [x['title'] for x in get_news('us')+get_news('gb')]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Covid-19 Live Updates: Vaccines and Boosters News - The New York Times',\n", + " 'Ukrainians Flee Mariupol as Russian Forces Push to Take Port City - The Wall Street Journal',\n", + " 'Bond Yields Jump, Stock Futures Rise After Powell Says Fed Is Ready to Be More Aggressive - The Wall Street Journal',\n", + " 'Putin critic Alexei Navalny found guilty by Russian court - New York Post ',\n", + " \"Supreme Court nominee Ketanji Brown Jackson will face questions at confirmation hearing's second day - CNN\",\n", + " '2 teachers killed at Swedish high school, student arrested - ABC News',\n", + " 'Clues to Covid-19’s Next Moves Come From Sewers - The Wall Street Journal',\n", + " 'Republicans to roll dice by grilling Jackson over child-pornography sentencing decisions | TheHill - The Hill',\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " \"US stocks whipsawed overnight after Fed Chair Powell's remarks - Fox Business\",\n", + " \"'We've learned absolutely nothing': Tests could again be in short supply if Covid surges - POLITICO\",\n", + " \"Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\",\n", + " 'China searches for victims, flight recorders after first plane crash in 12 years - Reuters',\n", + " 'Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters',\n", + " 'Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español',\n", + " 'Powers Remain and Threats Lurk as Women’s Sweet 16 Is Set - The New York Times',\n", + " 'Webb Space Telescope Begins Multi-Instrument Alignment - SciTechDaily',\n", + " \"UConn vs UCF - NCAA women's tournament second-round highlights - March Madness\",\n", + " 'Bucking Republican Trend, Indiana Governor Vetoes Transgender Sports Bill - The New York Times',\n", + " \"Maggie Fox dead: Coronation Street and Shameless actress dies after 'sudden accident' - Mirror Online - The Mirror\",\n", + " 'China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent',\n", + " 'Daniel Morgan murder: damning report condemns Met police - The Guardian',\n", + " 'What to expect from Rishi Sunak’s Spring Statement - BBC.com',\n", + " 'UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian',\n", + " \"Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\",\n", + " 'Brass Eye’s outtakes show the brutal TV comedy was the tip of an iceberg - The Guardian',\n", + " \"Vladimir Putin threatens civilians to break Mariupol's spirit - The Times\",\n", + " 'Shell U-turn on Cambo oilfield would threaten green targets, say campaigners - The Guardian',\n", + " 'St Helens dog attack: Girl aged 17 months killed at home - BBC',\n", + " \"PlayStation to buy 'Assassin's Creed' veteran Jade Raymond's Haven Studios - NME\",\n", + " '‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent',\n", + " 'NASA confirms there are 5,000 planets outside our solar system - Daily Mail',\n", + " 'Nintendo Switch finally has folders • Eurogamer.net - Eurogamer.net',\n", + " 'FA to “find a solution” as Liverpool fan group blasts “shambolic” Wembley travel - This Is Anfield',\n", + " 'Manchester United transfer news LIVE Erik ten Hag latest and Man Utd manager updates - Manchester Evening News',\n", + " 'Inflation raises cost of UK government borrowing in February; crude oil up again – business live - The Guardian',\n", + " 'Alexei Navalny: Kremlin critic found guilty of large-scale fraud and contempt of court by Russian court - Sky News',\n", + " \"UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\",\n", + " 'Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "all_titles" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ਸਭ ਤੋਂ ਪਹਿਲਾਂ, ਅਸੀਂ ਖਬਰਾਂ ਦੇ ਸਿਰਲੇਖਾਂ ਵਿੱਚੋਂ ਸੰਜ्ञਾਵਾਂ ਨਿਕਾਲਣ ਯੋਗ ਹੋਣਾ ਚਾਹੁੰਦੇ ਹਾਂ। ਅਸੀਂ ਇਸ ਲਈ `TextBlob` ਲਾਇਬ੍ਰੇਰੀ ਦੀ ਵਰਤੋਂ ਕਰਾਂਗੇ, ਜੋ ਇਸ ਤਰ੍ਹਾਂ ਦੇ ਬਹੁਤ ਸਾਰੇ ਆਮ NLP ਕੰਮਾਂ ਨੂੰ ਆਸਾਨ ਬਣਾ ਦਿੰਦੀ ਹੈ।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: textblob in c:\\winapp\\miniconda3\\lib\\site-packages (0.17.1)\n", + "Requirement already satisfied: nltk>=3.1 in c:\\winapp\\miniconda3\\lib\\site-packages (from textblob) (3.5)\n", + "Requirement already satisfied: joblib in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (1.0.1)\n", + "Requirement already satisfied: regex in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (2021.11.10)\n", + "Requirement already satisfied: tqdm in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (4.61.2)\n", + "Requirement already satisfied: click in c:\\winapp\\miniconda3\\lib\\site-packages (from nltk>=3.1->textblob) (8.0.3)\n", + "Requirement already satisfied: colorama in c:\\winapp\\miniconda3\\lib\\site-packages (from click->nltk>=3.1->textblob) (0.4.4)\n", + "Finished.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[nltk_data] Downloading package brown to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package brown is already up-to-date!\n", + "[nltk_data] Downloading package punkt to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package punkt is already up-to-date!\n", + "[nltk_data] Downloading package wordnet to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package wordnet is already up-to-date!\n", + "[nltk_data] Downloading package averaged_perceptron_tagger to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package averaged_perceptron_tagger is already up-to-\n", + "[nltk_data] date!\n", + "[nltk_data] Downloading package conll2000 to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package conll2000 is already up-to-date!\n", + "[nltk_data] Downloading package movie_reviews to\n", + "[nltk_data] C:\\Users\\dmitryso\\AppData\\Roaming\\nltk_data...\n", + "[nltk_data] Package movie_reviews is already up-to-date!\n" + ] + } + ], + "source": [ + "import sys\n", + "!{sys.executable} -m pip install textblob\n", + "!{sys.executable} -m textblob.download_corpora\n", + "from textblob import TextBlob" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'covid-19 live updates': 1,\n", + " 'vaccines': 1,\n", + " 'boosters': 1,\n", + " 'york': 4,\n", + " 'ukrainians flee mariupol': 1,\n", + " 'forces push': 1,\n", + " 'port city': 1,\n", + " 'wall street journal': 3,\n", + " 'bond yields': 1,\n", + " 'futures rise': 1,\n", + " 'powell says fed': 1,\n", + " 'ready': 1,\n", + " 'be': 1,\n", + " 'aggressive': 1,\n", + " 'putin': 3,\n", + " 'alexei navalny': 2,\n", + " 'russian': 2,\n", + " 'supreme court nominee': 1,\n", + " 'ketanji brown jackson': 1,\n", + " \"confirmation hearing 's\": 1,\n", + " 'cnn': 1,\n", + " 'swedish': 1,\n", + " 'high school': 1,\n", + " 'abc': 1,\n", + " 'clues': 1,\n", + " 'covid-19': 1,\n", + " '’ s': 2,\n", + " 'moves': 1,\n", + " 'sewers': 1,\n", + " 'roll dice': 1,\n", + " 'jackson': 1,\n", + " 'decisions |': 1,\n", + " 'thehill': 1,\n", + " 'clear': 2,\n", + " 'chemical weapons': 2,\n", + " 'ukraine': 3,\n", + " 'claims president': 2,\n", + " 'biden': 2,\n", + " 'nasa': 2,\n", + " 'solar system': 2,\n", + " 'daily mail': 3,\n", + " 'us stocks': 1,\n", + " 'fed chair powell': 1,\n", + " \"'s remarks\": 1,\n", + " 'fox': 1,\n", + " \"'we 've\": 1,\n", + " 'tests': 1,\n", + " 'covid': 1,\n", + " 'politico': 1,\n", + " 'duchess': 1,\n", + " 'cambridge': 1,\n", + " 'swaps khaki jungle gear': 1,\n", + " 'vampire': 1,\n", + " 'wife': 1,\n", + " 'belize': 1,\n", + " 'china': 2,\n", + " 'flight recorders': 1,\n", + " 'plane crash': 1,\n", + " 'reuters': 2,\n", + " 'russian oligarch': 1,\n", + " 'abramovich': 1,\n", + " 'live': 1,\n", + " 'russia': 2,\n", + " 'stops talks': 1,\n", + " 'japan': 1,\n", + " 'español': 1,\n", + " 'powers remain': 1,\n", + " 'threats lurk': 1,\n", + " 'set': 1,\n", + " 'webb': 1,\n", + " 'telescope begins multi-instrument alignment': 1,\n", + " 'scitechdaily': 1,\n", + " 'uconn': 1,\n", + " 'ucf': 1,\n", + " 'ncaa': 1,\n", + " \"women 's tournament second-round highlights\": 1,\n", + " 'march madness': 1,\n", + " 'bucking republican trend': 1,\n", + " 'indiana': 1,\n", + " 'vetoes transgender': 1,\n", + " 'bill': 1,\n", + " 'maggie fox': 1,\n", + " 'coronation': 1,\n", + " 'shameless': 1,\n", + " \"'sudden accident\": 1,\n", + " 'mirror online': 1,\n", + " 'mirror': 2,\n", + " 'plane crash –': 1,\n", + " 'search': 1,\n", + " 'moment flight': 1,\n", + " 'daniel morgan': 1,\n", + " 'report condemns': 1,\n", + " 'met': 1,\n", + " 'guardian': 6,\n", + " 'rishi sunak': 1,\n", + " '’ s spring': 1,\n", + " 'statement': 1,\n", + " 'bbc.com': 1,\n", + " 'uk': 3,\n", + " 'ireland': 1,\n", + " 'euro': 1,\n", + " 'vladimir putin': 2,\n", + " \"'s 'lover\": 1,\n", + " 'brass eye': 1,\n", + " '’ s outtakes': 1,\n", + " 'brutal tv comedy': 1,\n", + " 'threatens civilians': 1,\n", + " 'mariupol': 1,\n", + " \"'s spirit\": 1,\n", + " 'shell u-turn': 1,\n", + " 'cambo': 1,\n", + " 'green targets': 1,\n", + " 'st helens': 1,\n", + " 'dog attack': 1,\n", + " 'girl': 1,\n", + " 'bbc': 1,\n", + " 'playstation': 1,\n", + " \"'assassin 's\": 1,\n", + " 'creed': 1,\n", + " 'jade raymond': 1,\n", + " 'haven studios': 1,\n", + " 'nme': 1,\n", + " 'nintendo switch': 1,\n", + " 'folders •': 1,\n", + " 'eurogamer.net': 2,\n", + " 'fa': 1,\n", + " 'solution ”': 1,\n", + " 'liverpool': 1,\n", + " 'fan group blasts “ shambolic ”': 1,\n", + " 'wembley': 1,\n", + " 'anfield': 1,\n", + " 'manchester': 1,\n", + " 'live erik': 1,\n", + " 'hag': 1,\n", + " 'utd': 1,\n", + " 'manager updates': 1,\n", + " 'manchester evening': 1,\n", + " 'inflation': 1,\n", + " 'government borrowing': 1,\n", + " 'february': 1,\n", + " 'crude oil': 1,\n", + " '– business': 1,\n", + " 'kremlin': 1,\n", + " 'large-scale fraud': 1,\n", + " 'sky': 1,\n", + " 'natural gas': 1,\n", + " 'gazprom': 1,\n", + " 'retail unit': 1,\n", + " 'insider': 1,\n", + " 'zaghari-ratcliffe': 1,\n", + " 'hunt': 1,\n", + " 'iran': 1,\n", + " 'debt payment': 1}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for n in TextBlob(x).noun_phrases:\n", + " if n in w:\n", + " w[n].append(x)\n", + " else:\n", + " w[n]=[x]\n", + "{ x:len(w[x]) for x in w.keys()}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ਅਸੀਂ ਦੇਖ ਸਕਦੇ ਹਾਂ ਕਿ ਸੰਜਨ ਨਾਮ ਸਾਨੂੰ ਵੱਡੇ ਵਿਸ਼ਯਕ ਸਮੂਹ ਨਹੀਂ ਦਿੰਦੇ। ਆਓ ਸੰਜਨ ਨਾਮਾਂ ਦੀ ਥਾਂ ਹੋਰ ਆਮ ਸ਼ਬਦ ਵਰਤਦੇ ਹਾਂ ਜੋ ਕਿ ਕੌਂਸੈਪਟ ਗ੍ਰਾਫ ਤੋਂ ਪ੍ਰਾਪਤ ਕੀਤੇ ਗਏ ਹਨ। ਇਹ ਕੁਝ ਸਮਾਂ ਲਵੇਗਾ, ਕਿਉਂਕਿ ਅਸੀਂ ਹਰ ਸੰਜਨ ਫਰੇਜ਼ ਲਈ REST ਕਾਲ ਕਰ ਰਹੇ ਹਾਂ।\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "trusted": true + }, + "outputs": [], + "source": [ + "w = {}\n", + "for x in all_titles:\n", + " for noun in TextBlob(x).noun_phrases:\n", + " terms = query(noun)\n", + " for term in [u for u in terms.keys() if terms[u]>0.1]:\n", + " if term in w:\n", + " w[term].append(x)\n", + " else:\n", + " w[term]=[x]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'city': 9,\n", + " 'brand': 4,\n", + " 'place': 9,\n", + " 'town': 4,\n", + " 'factor': 4,\n", + " 'film': 4,\n", + " 'nation': 11,\n", + " 'state': 5,\n", + " 'person': 4,\n", + " 'organization': 5,\n", + " 'publication': 10,\n", + " 'market': 5,\n", + " 'economy': 4,\n", + " 'company': 6,\n", + " 'newspaper': 6,\n", + " 'relationship': 6}" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{ x:len(w[x]) for x in w.keys() if len(w[x])>3}" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "trusted": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ECONOMY:\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "\n", + "NATION:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "China searches for victims, flight recorders after first plane crash in 12 years - Reuters\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "Live updates: Russia stops talks with Japan over sanctions - The Associated Press - en Español\n", + "China plane crash – live: Search for survivors continues as witness describes moment flight fell from sky - The Independent\n", + "UK and Republic of Ireland in line to host Euro 2028 after no one else bids - The Guardian\n", + "Friends beg Vladimir Putin's 'lover' to persuade him to end Ukraine invasion - The Mirror\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "UK prepares to nationalize Russia natural gas giant Gazprom's retail unit - Business Insider\n", + "Zaghari-Ratcliffe: Hunt calls for inquiry into delay over Iran debt payment - The Guardian\n", + "\n", + "PERSON:\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n", + "Duchess of Cambridge swaps khaki jungle gear for Vampire's Wife dress on Belize trip - Daily Mail\n", + "Second superyacht linked to Russian oligarch Abramovich docks in Turkey - Reuters\n", + "‘Clear sign’ Putin considering using chemical weapons in Ukraine, claims President Biden - The Independent\n" + ] + } + ], + "source": [ + "print('\\nECONOMY:\\n'+'\\n'.join(w['economy']))\n", + "print('\\nNATION:\\n'+'\\n'.join(w['nation']))\n", + "print('\\nPERSON:\\n'+'\\n'.join(w['person']))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n\n\n**ਇਲਾਨ**: \nਇਸ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਏਆਈ ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦਿਤ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀਅਤ ਲਈ ਕੋਸ਼ਿਸ਼ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਰੱਖੋ ਕਿ ਸੁਚਾਲਿਤ ਅਨੁਵਾਦ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਣਸਹੀਤਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਆਪਣੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਪ੍ਰਭਾਵਸ਼ਾਲੀ ਸਰੋਤ ਮਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਅਹਿਮ ਜਾਣਕਾਰੀ ਲਈ, ਪ੍ਰੋਫੈਸ਼ਨਲ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫ਼ਾਰਿਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਉਤਪੰਨ ਕਿਸੇ ਵੀ ਗਲਤਫਹਮੀ ਜਾਂ ਗਲਤ ਵਿਵਹਾਰ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।\n\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.4 64-bit (conda)", + "metadata": { + "interpreter": { + "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" + } + }, + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 } \ No newline at end of file