From dd228e5d0c3cde66e7fe50ceb3224391178a61bd Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Mon, 5 Jan 2026 17:15:53 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 5 files) --- translations/et/README.md | 249 +++++++++++++++++---------------- translations/kn/README.md | 275 +++++++++++++++++++------------------ translations/ml/README.md | 230 +++++++++++++------------------ translations/pcm/README.md | 102 +++++++------- translations/te/README.md | 237 +++++++++++++++++--------------- 5 files changed, 550 insertions(+), 543 deletions(-) diff --git a/translations/et/README.md b/translations/et/README.md index 1f4ad58d..c2bd1f0f 100644 --- a/translations/et/README.md +++ b/translations/et/README.md @@ -1,44 +1,53 @@ -[![GitHub litsents](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub panustajad](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub probleemid](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pull-päringud](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PR-id teretulnud](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub jälgijad](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub forkid](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub tärnid](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Tehisintellekt alustajatele - õppekava +# Tehisintellekt algajatele - õppekava -|![Sketchnote autorilt @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.et.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.et.png)| |:---:| -| AI For Beginners - _Sketchnote autorilt [@girlie_mac](https://twitter.com/girlie_mac)_ | - -Uurige **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppekavaga! See sisaldab praktilisi tunde, viktoriine ja laboreid. Õppekava sobib algajatele ning käsitleb tööriistu nagu TensorFlow ja PyTorch ning ka tehisintellekti eetikat. +| AI algajatele - _Sketchnote autor [@girlie_mac](https://twitter.com/girlie_mac)_ | +Avastage **tehisintellekti** (AI) maailm meie 12-nädalase 24-õppetunnise õppekavaga! See sisaldab praktilisi tunde, viktoriine ja laboreid. Õppekava sobib algajatele ja hõlmab tööriistu nagu TensorFlow ja PyTorch ning ka eetikat tehisintellektis. ### 🌐 Mitmekeelne tugi -#### Toetatakse GitHub Actioni kaudu (automaatselt ja alati ajakohane) +#### Toetatud GitHub Actioni kaudu (automatiseeritud ja alati uuendatud) -[araabia](../ar/README.md) | [bengali](../bn/README.md) | [bulgaaria](../bg/README.md) | [birma (Myanmar)](../my/README.md) | [hiina (lihtsustatud)](../zh/README.md) | [hiina (traditsiooniline, Hongkong)](../hk/README.md) | [hiina (traditsiooniline, Macao)](../mo/README.md) | [hiina (traditsiooniline, Taiwan)](../tw/README.md) | [horvaadi](../hr/README.md) | [tšehhi](../cs/README.md) | [taani](../da/README.md) | [hollandi](../nl/README.md) | [eesti](./README.md) | [soome](../fi/README.md) | [prantsuse](../fr/README.md) | [saksa](../de/README.md) | [kreeka](../el/README.md) | [heebrea](../he/README.md) | [hindi](../hi/README.md) | [ungari](../hu/README.md) | [indoneesia](../id/README.md) | [itaalia](../it/README.md) | [jaapani](../ja/README.md) | [kannada](../kn/README.md) | [korea](../ko/README.md) | [leedu](../lt/README.md) | [malai](../ms/README.md) | [malayalam](../ml/README.md) | [marathi](../mr/README.md) | [nepali](../ne/README.md) | [Nigeeria pidžin](../pcm/README.md) | [norra](../no/README.md) | [pärsia (farsi)](../fa/README.md) | [poola](../pl/README.md) | [portugali (Brasiilia)](../br/README.md) | [portugali (Portugal)](../pt/README.md) | [punjabi (Gurmukhi)](../pa/README.md) | [rumeenia](../ro/README.md) | [vene](../ru/README.md) | [serbia (kirillitsa)](../sr/README.md) | [slovaki](../sk/README.md) | [sloveeni](../sl/README.md) | [hispaania](../es/README.md) | [suahiili](../sw/README.md) | [rootsi](../sv/README.md) | [tagalogi (filipiino)](../tl/README.md) | [tamil](../ta/README.md) | [telugu](../te/README.md) | [tai](../th/README.md) | [türgi](../tr/README.md) | [ukraina](../uk/README.md) | [urdu](../ur/README.md) | [vietnami](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](./README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Eelistad kloonimist kohapeal?** + +> See repositoorium sisaldab üle 50 keele tõlget, mis suurendab oluliselt allalaadimise mahtu. Kui soovid kloonida ilma tõlgeteta, kasuta sparse checkout'i: +> ```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' +> ``` +> See annab sulle kõik vajaliku kursuse läbimiseks palju kiiremalt. -**Kui soovite, et toetataks täiendavaid tõlkeid, on toetatud keeled loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Kui soovid lisada täiustavaid tõlkekeeli, siis need on loetletud [siin](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Liitu kogukonnaga [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -47,177 +56,177 @@ Uurige **tehisintellekti** (AI) maailma meie 12-nädalase, 24-õppetunniga õppe **[Kursuse mõttekaart](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Selles õppekavas õpid sa: +Selles õppekavas õpid: -* Erinevaid lähenemisi tehisintellektile, sealhulgas „hea vana“ sümboolset lähenemist koos **teadmiste esindamise** ja järeldamisega ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Närvivõrgud** ja **sügavõpe**, mis on kaasaegse AI tuum. Me illustreerime nende oluliste teemade taga olevaid kontseptsioone koodi abil kahes populaarseimas raamistikus - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org). -* **Neuraalarhitektuurid** piltide ja teksti töötlemiseks. Käsitleme viimaseid mudeleid, kuid võime olla mõnevõrra maas tipptasemest. -* Vähem levinud AI-lähenemisi, nagu **geneetilised algoritmid** ja **mitmeagendi süsteemid**. +* Erinevaid lähenemisviise tehisintellektile, kaasa arvatud "hea vana" sümboolse lähenemise koos **teadmisrepresentatsiooni** ja peegelustestamisega ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Närvivõrgud** ja **sügavõpe**, mis on moodsa AI süda. Selgitame nende oluliste teemade kontseptsioone koodinäidete abil kahes populaarsemas raamistikus - [TensorFlow](http://Tensorflow.org) ja [PyTorch](http://pytorch.org). +* **Närviarhitektuurid** piltide ja tekstiga töötamiseks. Katame uusi mudeleid, kuid võib veidi puududa kõige tipptasemel lahendusest. +* Vähem levinud AI lähenemisi, nagu **geneetilised algoritmid** ja **mitmeagendisüsteemid**. -Mida me selles õppekavas ei käsitle: +Mida me selles õppekavas ei hõlma: -> [Leidke kõik täiendavad selle kursuse ressursid meie Microsoft Learn kollektsioonist](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Leia kõik selle kursuse lisamaterjalid meie Microsoft Learni kogust](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Äripõhised juhtumiuuringud tehisintellekti kasutamisest. Kaaluge Microsoft Learn'is õppeteekide [Sissejuhatus AI ärikasutajatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) läbimist või [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) kursust, mis on välja töötatud koostöös [INSEAD](https://www.insead.edu/)-iga. -* **Klassikaline masinõpe**, mis on hästi kirjeldatud meie [Masinõpe algajatele - õppekava](http://github.com/Microsoft/ML-for-Beginners). -* Praktilised AI rakendused, mis on ehitatud kasutades **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Selleks soovitame alustada Microsoft Learn'i moodulitest arvutinägemise jaoks ([vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)), loomuliku keele töötluse jaoks ([natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)), **[Generatiivne AI Azure OpenAI teenusega](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja teistelt. -* Spetsiifilised ML **pilveraamistikud**, nagu [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), või [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Kaaluge Microsoft Learn'i õppeteid [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) ja [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). -* **Vestluslik AI** ja **vestlusrobotid**. Selle kohta on eraldi õppeteek [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), ning lisateabe saamiseks võite vaadata ka [seda blogipostitust](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/). -* **Sügav matemaatika** sügava õppimise taga. Selle jaoks soovitame raamatu [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autoritelt Ian Goodfellow, Yoshua Bengio ja Aaron Courville, mis on saadaval ka veebis aadressil [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Ärilistel juhtudel kasutatavat **AI äris**. Soovitame läbida [Sissejuhatus AI kasutamisse ärikasutajatele](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) õpitee Microsoft Learnis või [AI äri kool](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), mida arendati koostöös [INSEAD](https://www.insead.edu/)iga. +* **Klassikalist masinõpet**, mis on hästi kirjeldatud meie [Masinõppe algajate õppekavas](http://github.com/Microsoft/ML-for-Beginners). +* Praktilisi AI rakendusi, mis on ehitatud kasutades **[Kognitiivseid teenuseid](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Selleks soovitame alustada Microsoft Learni moodulitest nägemise ([vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)), loomuliku keele töötlemise ([natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)), **[Generative AI koos Azure OpenAI teenusega](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ja teised. +* Spetsiifilisi ML **pilve raamistikud**, nagu [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) või [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Soovitame kasutada [Ehita ja halda masinõppe lahendusi Azure Machine Learninguga](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ja [Ehita ja halda masinõppe lahendusi Azure Databricksiga](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) õppeteid. +* **Vestlusliku AI** ja **vestlusrobotite (chatbotide)** teemasid. Selleks on eraldi [Loo vestluslike AI lahenduste](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) õpitee ja võid samuti vaadata [seda blogipostitust](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) üksikasjade jaoks. +* **Sügavat matemaatikat** sügavõppe taga. Soovitame selleks [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) raamatut autoritelt Ian Goodfellow, Yoshua Bengio ja Aaron Courville, mis on saadaval ka veebis aadressil [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Õrnemaks sissejuhatuseks pilves AI teemadesse võite kaaluda õppeteed [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). +Lõdvestunud sissejuhatuse saamiseks _AI pilves_ teemades võid kaaluda [Alustamist tehisintellektiga Azure’is](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) õpiplaani. # Sisu -| | Loengu link | PyTorch/Keras/TensorFlow | Labor | +| | Õppetunni link | PyTorch/Keras/TensorFlow | Labor | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kursuse häälestus](./lessons/0-course-setup/setup.md) | [Seadista oma arenduskeskkond](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Kursuse seadistamine](./lessons/0-course-setup/setup.md) | [Seadista oma arenduskeskkond](./lessons/0-course-setup/how-to-run.md) | | | I | [**Sissejuhatus tehisintellekti**](./lessons/1-Intro/README.md) | | | | 01 | [Sissejuhatus ja tehisintellekti ajalugu](./lessons/1-Intro/README.md) | - | - | | II | **Sümboolne AI** | -| 02 | [Teadmiste esindamine ja ekspertsüsteemid](./lessons/2-Symbolic/README.md) | [Ekspertsüsteemid](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloogia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kontseptsioonigraaf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Teadmisrepresentatsioon ja ekspertsüsteemid](./lessons/2-Symbolic/README.md) | [Ekspertsüsteemid](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloogia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kontseptsioonigraaf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Sissejuhatus närvivõrkudesse**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Märkmik](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Mitmekihiline perceptron ja oma raamistikku loomine](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Märkmik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Sissejuhatus raamistikesse (PyTorch/TensorFlow) ja üleõppimine](./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) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Mitmekihiline perceptron ja oma raamistu loomine](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Raamistike sissejuhatus (PyTorch/TensorFlow) ja üleõppimine](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Arvutinägemine**](./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)| [Avasta arvutinägemine Microsoft Azure'is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Sissejuhatus arvutinägemisse. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Märkmik](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Konvolutsioonilised närvivõrgud](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitektuurid](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Ettelaaditud võrgud ja ülekandeõpe](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Treeningutrikid](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoenkooderid ja VAE-d](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Generatiivsed vastandvõrgud & kunstilise stiili ülekandmine](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Objektituvastus](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 06 | [Sissejuhatus arvutinägemisesse. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvolutsioonilised närvivõrgud](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitektuurid](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Eeltreenitud võrgud ja teadmiste ülekandmine](./lessons/4-ComputerVision/08-TransferLearning/README.md) ja [Treeningu trikid](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autokodeerijad ja VAEd](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Generatiivsed vastanduvad võrgud ja kunstilise stiili ülekandmine](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Objekti tuvastamine](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantiline segmentimine. 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 | [**Loodusliku keele töötlus**](./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) | [Avasta loodusliku keele töötlus Microsoft Azure'is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Teksti esitus. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Semantilised sõnavektorid. Word2Vec ja 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 | [Keelemudeldus. Oma embeddingute treenimine](./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) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rekursiivsed närvivõrgud](./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 | [Generatiivsed rekurrentvõrgud](./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) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| V | [**Loodusliku keele töötlemine**](./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) | [Avasta loodusliku keele töötlemine Microsoft Azure'is](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Teksti esitus. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Semantilised sõna sisestused. Word2Vec ja 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 | [Keelemudel. Oma sisestuste treenimine](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Korduvad närvivõrgud](./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 | [Generatiivsed korduvad võrgud](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Nimetatud üksuste tuvastamine](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Suured keelemudelid, promptide programmeerimine ja vähese õppega ülesanded](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Muud tehisintellekti tehnikad** || | -| 21 | [Geneetilised algoritmid](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Märkmik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Sügav tugevdamisõpe](./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) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Mitmeagendilised süsteemid](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Tehisintellekti eetika** | | | -| 24 | [Tehisintellekti eetika ja vastutustundlik tehisintellekt](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastutustundliku tehisintellekti põhimõtted](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Lisad** | | | -| 25 | [Mitmemodaalsed võrgud, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Märkmik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 19 | [Nimedatud üksuste tuvastamine](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Suured keelemudelid, promptide programmeerimine ja vähese kogusega ülesanded](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Muud tehisintellekti tehnoloogiad** || | +| 21 | [Geneetilised algoritmid](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Sügav tugevdamisõpe](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Mitmeagendi süsteemid](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI eetika** | | | +| 24 | [AI eetika ja vastutustundlik AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Vastutustundliku AI põhimõtted](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Lisaressursid** | | | +| 25 | [Mitmemodaalsed võrgud, CLIP ja VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Iga õppetund sisaldab -* Eelnevalt loetav materjal -* Täidetavad Jupyteri märkmikud, mis sageli on spetsiifilised konkreetsele raamistikule (**PyTorch** või **TensorFlow**). Täidetav märkmik sisaldab ka palju teoreetilist materjali, seega teema mõistmiseks peate läbi tegema vähemalt ühe märkmiku versiooni (kas **PyTorch** või **TensorFlow**). -* **Laborid** on saadaval mõnede teemade puhul, mis annavad võimaluse proovida õpitut rakendada konkreetse probleemi lahendamisel. -* Mõned osad sisaldavad linke [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moodulitele, mis käsitlevad seotud teemasid. +* Eelnevat lugemismaterjali +* Täidetavaid Jupyteri märkmikke, mis on sageli seotud konkreetse raamistikuga (**PyTorch** või **TensorFlow**). Täidetav märkmik sisaldab ka palju teoreetilist materjali, seega teema mõistmiseks tuleb läbida vähemalt üks märkmiku versioon (kas PyTorch või TensorFlow). +* Mõne teema jaoks on saadaval **laborid**, mis annavad võimaluse proovida õpitud materjali rakendamist konkreetsele probleemile. +* Mõned sektsioonid sisaldavad linke [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) moodulitele, mis käsitlevad seotud teemasid. -## Alustamine +## Alustamiseks -### 🎯 Uus tehisintellekti alal? Alusta siit! +### 🎯 Oled AI's uus? Alusta siit! -Kui oled tehisintellektiga täiesti uus ja soovid kiireid praktilisi näiteid, vaata meie [**Algajasõbralikud näited**](./examples/README.md)! Need sisaldavad: +Kui oled täiesti uus tehisintellekti valdkonnas ja soovid kiirelt praktilisi näiteid, vaata meie [**algajatele sõbralikke näiteid**](./examples/README.md)! Need sisaldavad: -- 🌟 **Hello AI World** - Sinu esimene tehisintellekti programm (mustri tuvastamine) -- 🧠 **Simple Neural Network** - Ehita närvivõrk nullist -- 🖼️ **Image Classifier** - Klassifitseeri pilte koos põhjalike kommentaaridega -- 💬 **Teksti meeleolu** - analüüsi teksti positiivsust/negatiivsust +- 🌟 **Tere tulemast AI maailma** - Sinu esimene AI programm (mustrituvastus) +- 🧠 **Lihtne närvivõrk** - Ehita närvivõrk nullist +- 🖼️ **Pildiklassifikaator** - Klassifitseeri pilte üksikasjalike kommentaaridega +- 💬 **Teksti sentiment** - Analüüsi positiivset/negatiivset teksti -Need näited on mõeldud aitama teil tehisintellekti mõisteid mõista enne täieliku õppekava juurde asumist. +Need näited on loodud selleks, et aidata sul mõista tehisintellekti kontseptsioone enne kogu õppekavasse sukeldumist. ### 📚 Täieliku õppekava seadistamine -- Oleme loonud a [seadistustunni](./lessons/0-course-setup/setup.md), et aidata teil arenduskeskkonda seadistada. - Õpetajatele oleme loonud ka [õppekava seadistuse tunni](./lessons/0-course-setup/for-teachers.md)! -- Kuidas [käivitada koodi VSCode'is või Codepace'is](./lessons/0-course-setup/how-to-run.md) +- Oleme loonud [seadistustunni](./lessons/0-course-setup/setup.md), mis aitab sind arenduskeskkonna seadistamisel. - Õpetajate jaoks oleme loonud ka [õppekava seadistustunni](./lessons/0-course-setup/for-teachers.md)! +- Kuidas [käivitada koodi VSCode'is või Codepace’is](./lessons/0-course-setup/how-to-run.md) -Järgige neid samme: +Järgi neid samme: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Forka reposiit: Klõpsa selle lehe paremas ülanurgas nuppu "Fork". -Klooni hoidla: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Kopeeri reposiit: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Ärge unustage sellele hoidlale tärni (🌟) anda, et seda hiljem kergemini leida. +Ära unusta sellele repo'le tähtpäikest (🌟) panna, et seda hiljem lihtsam leida. -## Tutvuge teiste õppuritega +## Kohtu teiste õppijatega -Liituge meie [ametliku AI Discordi serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja võrgustuda teiste selle kursuse osalejatega ning saada tuge. +Liitu meie [ametliku AI Discordi serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), et kohtuda ja suhelda teiste selle kursuse läbijatega ning saada tuge. -Kui teil on toote tagasisidet või küsimusi ehitamise ajal, külastage meie [Azure AI Foundry arendajate foorumit](https://aka.ms/foundry/forum) +Kui sul on toote tagasisidet või küsimusi, külastage meie [Azure AI Foundry arendajate foorumit](https://aka.ms/foundry/forum). -## Viktoriinid +## Viktoriinid -> **Märkus viktoriinide kohta**: Kõik viktoriinid asuvad Quiz-app kaustas aadressil etc\quiz-app, või [Veebis siin](https://ff-quizzes.netlify.app/) Need on lingitud õppetundidesse; viktoriini rakendust saab käitada lokaalselt või juurutada Azure'i; järgige juhiseid `quiz-app` kaustas. Neid lokaliseeritakse järk-järgult. +> **Märkus viktoriinide kohta**: Kõik viktoriinid asuvad Quiz-app kaustas teekonnas etc\quiz-app või [võrgus siin](https://ff-quizzes.netlify.app/). Need on lingitud tundidest, viktoriini rakendust saab käivitada lokaalselt või paigaldada Azure’i; järgi juhiseid `quiz-app` kaustas. Neid lokaliseeritakse järk-järgult. -## Abi soovitud +## Otsime abi -Kas teil on ettepanekuid või leidsid kirjavigu või koodivigu? Avage issue või esitage pull request. +Kas sul on ettepanekuid või oled leidnud trüki- või koodivigu? Ava probleem või loo pull request. ## Erilised tänud -* **✍️ Peamine autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ Peamiseks autoriks:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Toimetaja:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote'i illustraator:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Viktoriinide looja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Põhikontribuendid:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🎨 Sketchnote illustraator:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Viktoriini looja:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Põhisisendajad:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Muud õppekavad +## Teised õppekavad -Meie meeskond toodab ka teisi õppekavu! Vaadake: +Meie meeskond toodab ka teisi õppekavasid! Tutvu: ### LangChain -[![LangChain4j algajatele](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 algajatele](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agendid -[![AZD algajatele](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 algajatele](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 algajatele](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 agentid algajatele](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 / Agentid +[![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) --- -### Generatiivne AI sari -[![Generatiivne AI algajatele](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) -[![Generatiivne 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) -[![Generatiivne 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) -[![Generatiivne 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) +### Generatiivse AI sari +[![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) --- -### Põhialane õpe -[![Masinõpe algajatele](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) -[![Andmeteadus algajatele](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) -[![Tehisintellekt algajatele](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) -[![Küberjulgeolek algajatele](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) -[![Veebiarendus algajatele](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 algajatele](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 arendus algajatele](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) +### Tuumikõpe +[![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 sari -[![Copilot AI paarisprogrammeerimiseks](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 C#/.NET jaoks](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 seiklus](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) +### Copiloti sari +[![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) ## Abi saamine -Kui jääte hätta või teil on küsimusi AI-rakenduste ehitamise kohta, liituge teiste õppurite ja kogenud arendajatega aruteludes MCP teemal. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt. +Kui sa takerdud või sul on küsimusi AI rakenduste loomise kohta. Liitu teiste õppijate ja kogenud arendajatega MCP teemalistes aruteludes. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Kui teil on toote tagasisidet või ehitamise käigus vigu, külastage: +Kui sul on toote tagasisidet või esineb vigu ehitamise ajal, külasta: -[![Microsoft Foundry arendajate foorum](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) +[![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) --- -Vastutusest loobumine: -See dokument on tõlgitud tehisintellekti-põhise tõlketeenuse Co-op Translator (https://github.com/Azure/co-op-translator) abil. Kuigi me püüame tagada täpsust, tuleb arvestada, et automatiseeritud tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokumenti selle algkeeles tuleks pidada autoriteetseks allikaks. Kriitilise teabe puhul on soovitatav kasutada professionaalset inimtõlget. Me ei vastuta arusaamatuste ega väärtõlgenduste eest, mis tulenevad selle tõlke kasutamisest. +**Eksitustekst**: +See dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi me püüame täpsust, palun arvestage, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument oma emakeeles tuleks käsitleda autoriteetse allikana. Olulise teabe puhul soovitatakse professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti mõistmiste eest. \ No newline at end of file diff --git a/translations/kn/README.md b/translations/kn/README.md index 78922cd7..50f2b9d4 100644 --- a/translations/kn/README.md +++ b/translations/kn/README.md @@ -1,222 +1,233 @@ -[![GitHub ಪರವಾನಗಿ](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub ಕೊಡುಗೆದಾರರು](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub ಸಮಸ್ಯೆಗಳು](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub ಪುಲ್-ರಿಕ್ವೆಸ್ಟ್‌ಗಳು](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs ಸ್ವಾಗತ](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub ವೀಕ್ಷಕರು](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub ಫೋರ್ಕ್‌ಗಳು](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub ಸ್ಟಾರ್ಸ್](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Microsoft Foundry ಡಿಸ್ಕೋರ್ಡ್](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) -# ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ ಆರಂಭಿಕರಿಗೆ - ಒಂದು ಪಠ್ಯಕ್ರಮ +# ಹೊಸವರಿಗಾಗಿ искусственный ಬುದ್ಧಿಮತ್ತೆ - ಒಂದು ಪಠ್ಯಕ್ರಮ -|![ಸ್ಕೆಟ್ಚ್‌ನೋಟ್: @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.kn.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.kn.png)| |:---:| -| ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ ಆರಂಭಿಕರಿಗೆ - _ಸ್ಕೆಟ್ಚ್‌ನೋಟ್: [@girlie_mac](https://twitter.com/girlie_mac)_ | +| ಹೊಸವರಿಗಾಗಿ искусственный ಬುದ್ಧಿಮತ್ತೆ - _ಸ್ಕೆಎಚ್‌ನೋಟ್ [@girlie_mac](https://twitter.com/girlie_mac) ಅವರಿಂದ_ | + +ನಮ್ಮ 12-ವಾರ, 24-ಪಾಠದ ಪಠ್ಯಕ್ರಮದೊಂದಿಗೆ ** искусственный ಬುದ್ಧಿಮತ್ತೆ** (AI) ಜಗತ್ತನ್ನು ಅನ್ವೇಷಿಸಿ! ಇದರಲ್ಲಿ ಪ್ರಾಯೋಗಿಕ ಪಾಠಗಳು, ಪ್ರಶ್ನೋತ್ತರಗಳು ಮತ್ತು ಪ್ರಯೋಗಾಲಯಗಳಿವೆ. ಈ ಪಠ್ಯಕ್ರಮವು ಹೊಸವರಿಗೆ ಸೂಕ್ತವಾಗಿದೆ ಮತ್ತು TensorFlow ಮತ್ತು PyTorch ಮುಂತಾದ ಉಪಕರಣಗಳನ್ನು ಮತ್ತು AI ನ ತತ್ವಶಾಸ್ತ್ರವನ್ನು ಒಳಗೊಂಡಿದೆ -ನಮ್ಮ 12-ವಾರಗಳ, 24-ಬೋಧನಾ ಒಂದು ಪಠ್ಯಕ್ರಮದ ಮೂಲಕ **ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ** (AI) ಲೋಕವನ್ನು ಅನ್ವೇಷಿಸಿ! ಇದರಲ್ಲಿ ಪ್ರಾಯೋಗಿಕ ಪಾಠಗಳು, ಪ್ರತಿಯಲ್ಲಿ ಪರೀಕ್ಷೆಗಳು ಮತ್ತು ಪ್ರಯೋಗಾಲಯಗಳು ಸೇರಿವೆ. ಪಠ್ಯಕ್ರಮವು ಆರಂಭಿಕರಿಗೆ ಸೂಕ್ತವಾಗಿದ್ದು TensorFlow ಮತ್ತು PyTorchಂತಹ ಉಪಕರಣಗಳನ್ನು ಹಾಗೂ AI ನ ನೈತಿಕತೆಯನ್ನು ಒಳಗೊಂಡಿದೆ ### 🌐 ಬಹುಭಾಷಾ ಬೆಂಬಲ -#### GitHub Action ಮೂಲಕ ಬೆಂಬಲಿಸಲಾಗಿದೆ (ಸ್ವಯಂಚಾಲಿತ ಮತ್ತು ಯಾವಾಗಲೂ ನವೀಕರಿಸಲ್ಪಟ್ಟಿದೆ) +#### GitHub ಕ್ರಿಯೆಯ ಮೂಲಕ ಬೆಂಬಲಿಸಲಾಗಿದೆ (ಸ್ವಯಂಚಾಲಿತ ಮತ್ತು ಸದಾ ನವೀಕರಿಸುವ) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](./README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **ಸ್ಥಳೀಯವಾಗಿ ಕ್ಲೋನ್ ಮಾಡಬೇಕೆ?** + +> ಈ ಸಂಗ್ರಹ 50+ ಭಾಷಾ ಅನುವಾದಗಳನ್ನು ಒಳಗೊಂಡಿದ್ದು ಡೌನ್ಲೋಡ್ ಗಾತ್ರವನ್ನು ಬಹಳ ಹೆಚ್ಚಿಸುತ್ತದೆ. ಅನುವಾದಗಳಿಲ್ಲದೆ ಕ್ಲೋನ್ ಮಾಡಲು, ಸ್ಪಾರ್ಸ್ ಚೆಕೌಟ್ ಬಳಸಿ: +> ```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' +> ``` +> ಇದು ನಿಮಗೆ ಪಾಠವನ್ನು ಪೂರ್ಣಗೊಳಿಸಲು ಬೇಕಾದ ಎಲ್ಲಾ ವಿಷಯವನ್ನು ಹೆಚ್ಚುವರಿ ವೇಗದ ಡೌನ್ಲೋಡ್ ಜೊತೆಗೆ ನೀಡುತ್ತದೆ. -**If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**ನೀವು ಹೆಚ್ಚಿನ ಅನುವಾದ ಭಾಷೆಗಳ ಬೆಂಬಲವನ್ನು ಬಯಸಿದರೆ ಅವನ್ನು [ಇಲ್ಲಿ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ದೊರೆಯಬಹುದು** -## ಸಮುದಾಯಕ್ಕೆ ಸೇರಿ -[![Microsoft Foundry ಡಿಸ್ಕೋರ್ಡ್](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## ಸಮುದಾಯದಲ್ಲಿ ಸೇರಿ +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## ನೀವು ಏನು ಕಲಿಯುತ್ತೀರಿ +## ನೀವು ಕಲಿಯುವುದು -**[ಪಾಠ್ಯಕ್ರಮದ ಮನೋನಕ್ಷೆ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[ಕೋರ್ಸ್‌ನ ಮಾನಸನಕ್ಷೆ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ, ನೀವು ಕೆಳಗಿನವನ್ನೆಲ್ಲಾ ಕಲಿಯುತ್ತೀರಿ: +ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ನೀವು ಕಲಿಯುವುದು: -* ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಗೆ ವಿಭಿನ್ನ സമീപನೆಗಳು, "ಹಳೆಯ" ಚಿಹ್ನಾತ್ಮಕ ವಿಧಾನವನ್ನು ಒಳಗೊಂಡು, **ಜ್ಞಾನ ಪ್ರತಿನಿಧಾನ** ಮತ್ತು ತರ್ಕದೊಂದಿಗೆ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು** ಮತ್ತು **ಡೀಪ್ ಲರ್ನಿಂಗ್**, ಇವು ಆಧುನಿಕ AI ಯ ಕೋರ್. ಈ ಮಹತ್ವದ ವಿಷಯಗಳ ಹಿನ್ನೆಲೆ ತತ್ವಗಳನ್ನು ನಾವು [TensorFlow](http://Tensorflow.org) ಮತ್ತು [PyTorch](http://pytorch.org) ಎಂಬ ಅತ್ಯಂತ ಜನಪ್ರಿಯ ಫ್ರೇಮ್ವರ್ಕ್‌ಗಳಲ್ಲಿ ಕೋಡ್ ಮೂಲಕ ವಿವರಿಸುವೆವು. -* ಚಿತ್ರಗಳು ಮತ್ತು ಪಠ್ಯಗಳೊಂದಿಗೆ ಕೆಲಸ ಮಾಡಲು ಸೂಕ್ತ **ನ್ಯೂರಲ್ ಆರ್ಕಿಟೆಕ್ಚರ್ಗಳು**. ನಾವು ಇತ್ತೀಚಿನ ಮಾದರಿಗಳನ್ನು ಒಳಗೊಂಡು ವಿವರಿಸುವೆವು ಆದರೆ ಸ್ಥಿತಿಗತಿಯಲ್ಲಿ ಸಂಪೂರ್ಣ ಅತ್ಯಾಧುನಿಕವಾಗಿರುವುದರಲ್ಲಿ ಕೆಲವೊಂದು ಅಲಭ್ಯತೆ ಇರಬಹುದು. -* ಕಡಿಮೆ ಜನಪ್ರಿಯ AI ವಿಧಾನಗಳು, ಉದಾಹರಣೆಗೆ **ಜೆನೆಟಿಕ್ ಅಲ್ಗಾರಿಥಮ್‌ಗಳು** ಮತ್ತು **ಮಲ್ಟಿ-ಏಜೆಂಟ್ ಸಿಸ್ಟಮ್‌ಗಳು**. +* ೆ ವಿಭಿನ್ನ ದೃಷ್ಠಿಕೋಣಗಳು искусственный ಬುದ್ಧಿಮತ್ತೆಗೆ ಸಂಬಂಧಿಸಿದಂತೆ, "ಹಳೇ" ಚಿಹ್ನಾತ್ಮಕ ವಿಧಾನ ಸೇರಿದಂತೆ **ಜ್ಞಾನ ಪ್ರತಿನಿಧಾನ** ಮತ್ತು ನಿರ್ಣಯ ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್‌ಗಳು** ಮತ್ತು **ಡೀಫ್ ಲರ್ನಿಂಗ್**, ಇವು ಆಧುನಿಕ AI ನ ಮೂಲಭೂತ అంశಗಳಾಗಿವೆ. ನಾವು ಈ ಮಹತ್ವಪೂರ್ಣ ವಿಷಯಗಳ ತತ್ವವನ್ನು ಎರಡು ಜನಪ್ರಿಯ ಫ್ರೀಮ್‌ವರ್ಕ್‌ಗಳಾದ [TensorFlow](http://Tensorflow.org) ಮತ್ತು [PyTorch](http://pytorch.org) ಬಳಸಿ ಸೂತ್ರದ ಮೂಲಕ ವಿವರಿಸುತ್ತೇವೆ. +* ಚಿತ್ರಗಳು ಮತ್ತು ಪಠ್ಯದೊಂದಿಗೆ ಕೆಲಸ ಮಾಡಲು **ನ್ಯೂರಲ್ ವಾಸ್ತುಶಿಲ್ಪಗಳು**. ನಾವು ಇತ್ತೀಚಿನ ಮಾದರಿಗಳನ್ನು ಒಳಗೊಂಡಿದ್ದೇವೆ ಆದರೆ ರಾಜ್ಯ-of-the-art ನ್ನು ಕೆಲವು ಮಟ್ಟಿಗೆ ಕಡಿಮೆ ಮಾಡಬಹುದು. +* ಇತರೆ ಕೈಗಾರಿಕೆ AI ವಿಧಾನಗಳು, ಉದಾಹರಣೆಗೆ **ಜನಕೀಯ ಅಲ್ಗಾರಿದಂಗಳು** ಮತ್ತು **ಬಹು-ಏಜೆಂಟು ವ್ಯವಸ್ಥೆಗಳು**. -ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ನಾವು ಏನು ಒಳಗೊಳ್ಳುವುದಿಲ್ಲ: +ಈ ಪಠ್ಯಕ್ರಮದಲ್ಲಿ ನಾವು ಒಳಗೊಂಡಿಲ್ಲವು: -> [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ನಮ್ಮ Microsoft Learn ಸಂಗ್ರಹದಲ್ಲಿ ಈ ಕೋರ್ಸ್‌ಗೆ ಸಂಬಂಧಿಸಿದ ಎಲ್ಲಾ ಹೆಚ್ಚುವರಿ ಸಂಪನ್ಮೂಲಗಳನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* ವ್ಯಾಪಾರಿಕ ಸಂದರ್ಭಗಳಲ್ಲಿ **ವ್ಯಾಪಾರದೊಳಗಿನ AI** ಬಳಕೆದಾರ ಪ್ರಕರಣಗಳು. ನೀವು Microsoft Learn ನಲ್ಲಿರುವ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path ಅನ್ನುಗಳನ್ನು ಗಮನಿಸಬಹುದು, ಅಥವಾ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ಅನ್ನು, ಇದು [INSEAD](https://www.insead.edu/) ನೊಂದಿಗೆ ಸಹಕರಿಸಿ ಅಭಿವೃದ್ಧಿಪಡಿಸಲಾಗಿದೆ. -* **ಶಾಸ್ತ್ರೀಯ ಮೆಷಿನ್ ಲರ್ನಿಂಗ್**, ಅದು ನಮ್ಮ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ನಲ್ಲಿ ಚೆನ್ನಾಗಿ ವಿವರಿಸಲಾಗಿದೆ. -* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ಬಳಸಿ ನಿರ್ಮಿಸಿದ ಪ್ರಾಯೋಗಿಕ AI ಅನ್ವಯಿಕೆಗಳು. ಇದರಿಗಾಗಿ, ನಾವು Microsoft Learn ನ [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)** ಮತ್ತು ಇತರಗಳು ಸೇರಿದಂತೆ Modules ಕಳವಳನ್ನು ಆರಂಭಿಸಲು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ. -* ನಿರ್ದಿಷ್ಟ ML **ಮೇಘ ಫ್ರೇಮ್ವರ್ಕ್‌ಗಳು**, ಉದಾಹರಣೆಗೆ [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), ಅಥವಾ [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) ಮತ್ತು [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) learning pathಗಳನ್ನು ಪರಿಗಣಿಸಿ. -* **ಸಂವಹನಾತ್ಮಕ AI** ಮತ್ತು **ಚಾಟ್ ಬಾಟ್‌ಗಳು**. ಇದಕ್ಕೆ ಪ್ರತ್ಯೇಕ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path ಇದೆ, ಮತ್ತು ಹೆಚ್ಚಿನ ವಿವರಗಳಿಗೆ ನೀವು [ಈ ಬ್ಲಾಗ್ ಪೋಸ್ಟ್](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ಅನ್ನು ನೋಡಬಹುದು. -* ಡೀಪ್ ಲರ್ನಿಂಗಿನ ಹಿಂಬದಿಯ **ಗಾಢ ಗಣಿತ**. ಇದಕ್ಕೆ, ನಾವು Ian Goodfellow, Yoshua Bengio ಮತ್ತು Aaron Courville ರವರ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ಅನ್ನು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ, ಇದು [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ನಲ್ಲಿ ಕೂಡ ಲಭ್ಯವಿದೆ. +* **ವ್ಯವಹಾರಗಳಲ್ಲಿ AI** ಬಳಕೆಯ ವ್ಯವಹಾರ ಪ್ರಕರಣಗಳು. Microsoft Learn ನಲ್ಲಿ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ಪಾಠವಳ್ಳಿ ಅಥವಾ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) ಜೊತೆ ಸಹಯೋಗದಲ್ಲಿ ಅಭಿವೃದ್ಧಿಪಡಿಸಲಾಗಿದೆ, ಅವುಗಳನ್ನೂ ತೆಗೆದುಕೊಳ್ಳಿ. +* **ಸರಳ ಯಂತ್ರ ಅಧ್ಯಯನ** (Classic Machine Learning), ಇದು ನಮ್ಮ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ನಲ್ಲಿ ಚೆನ್ನಾಗಿ ವಿವರಿಸಲಾಗಿದೆ. +* **[ಕಾಗ್ನಿಟಿವ್ ಸೇವೆಗಳು](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ಬಳಸಿ ನಿರ್ಮಿಸಿದ ಪ್ರಾಯೋಗಿಕ AI ಅಪ್ಲಿಕೇಶನ್‌ಗಳು. ಇದಕ್ಕಾಗಿ, ನೀವು Microsoft Learn ನ [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)** ಮತ್ತು ಇತರ ಮೋಡ್ಯೂಲ್‌ಗಳಿಂದ ಪ್ರಾರಂಭಿಸುವುದನ್ನು ಸೂಚಿಸುತ್ತೇವೆ. +* ವಿಶೇಷ ಯಂತ್ರ ಅಧ್ಯಯನ **ಕ್ಲೌಡ್ ಫ್ರೀಮ್‌ವರ್ಕ್‌ಗಳು**, ಉದಾ: [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), ಅಥವಾ [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) ಮತ್ತು [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) ನ ಪಾಠ ಮಾರ್ಗಗಳನ್ನೂ ಪರೀಕ್ಷಿಸುವುದನ್ನು ಪರಿಗಣಿಸಿ. +* **ಸಂವಾದಾತ್ಮಕ AI** ಮತ್ತು **ಚಾಟ್ ಬೋಟ್ಸ್**. [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ಎಂಬ ಪ್ರತ್ಯೇಕ ಪಾಠ ಮಾರ್ಗವಿದೆ ಹಾಗೂ ಹೆಚ್ಚು ವಿವರಕ್ಕಾಗಿ [ಈ ಬ್ಲಾಗ್ ಪೋಸ್ಟ್](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ನ್ನು ಕೂಡ ನೋಡಿ. +* ಡೀಪ್ ಲರ್ನಿಂಗ್ ಅನಂತರದ **ಡೀಫ್ ಗಣಿತ**. ಇದಕ್ಕಾಗಿ, ಇಯಾನ್ ಗುಡ್‌ಫೆಲೋ, ಯೋಷುವಾ ಬೆಂಗಿಯೋ ಮತ್ತು ಆರೋನ್ ಕೌರ್ವಿಲ್ ರವರ **ಡೀಪ್ ಲರ್ನಿಂಗ್** ಪುಸ್ತಕವನ್ನು [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) ನಲ್ಲಿ ಲಭಿಸುವಂತೆ ನಾವು ಶಿಫಾರಸು ಮಾಡುತ್ತೇವೆ. -_ಬ್ಲಾಕ್ನಲ್ಲಿ AI_ ವಿಷಯಗಳ ಗೆಂಟಲ್ ಪರಿಚಯಕ್ಕಾಗಿ ನೀವು [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) Learning Path ತೆಗೆದುಕೊಳ್ಳಬಹುದು. +ಕ್ಲೌಡ್‌ನಲ್ಲಿರುವ _AI_ ವಿಷಯಗಳಿಗೆ ಮುಸುಕಿನ ಪರಿಚಯಕ್ಕಾಗಿ ನೀವು [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) ಪಾಠ ಮಾರ್ಗವನ್ನು ಪಡೆದುಕೊಳ್ಳಬಹುದು. -# Content +# ವಿಷಯ -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | ಪಾಠದ ಲಿಂಕ್ | PyTorch/Keras/TensorFlow | ಪ್ರಯೋಗಾಲಯ | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introduction to AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduction and History of AI](./lessons/1-Intro/README.md) | - | - | -| II | **Symbolic AI** | -| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) ||| +| 0 | [ಕೋರ್ಸ್ ಸೆಟ್ಟಪ್](./lessons/0-course-setup/setup.md) | [ನಿಮ್ಮ ಅಭಿವೃದ್ಧಿ ವಾತಾವರಣವನ್ನು ಸೆಟ್‌ಅಪ್ ಮಾಡಿ](./lessons/0-course-setup/how-to-run.md) | | +| I | [**AI ಗೆ ಪರಿಚಯ**](./lessons/1-Intro/README.md) | | | +| 01 | [AI ಯ ಇತಿಹಾಸ ಮತ್ತು ಪರಿಚಯ](./lessons/1-Intro/README.md) | - | - | +| II | **ಚಿಹ್ನಾತ್ಮಕ AI** | +| 02 | [ಜ್ಞಾನ ಪ್ರತಿನಿಧಾನ ಮತ್ತು ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/README.md) | [ತಜ್ಞ ವ್ಯವಸ್ಥೆಗಳು](./lessons/2-Symbolic/Animals.ipynb) / [ಆಂಟೋಲಜಿ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[ಸಂಕಲ್ಪ ಗ್ರಾಫ್](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**ನ್ಯೂರಲ್ ನೆಟ್ವರ್ಕ್ಸ್‌ಗೆ ಪರಿಚಯ**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [ಪರ್ಸೆಪ್ಟ್ರಾನ್](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [ಬಹು-ಮಟ್ಟದ ಪರ್ಸೆಪ್ಟ್ರಾನ್ ಮತ್ತು ನಮ್ಮದೇ ಫ್ರೇಮ್ವರ್ಕ್ ರಚನೆ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [ಫ್ರೇಮ್ವರ್ಕ್ಗಳ ಪರಿಚಯ (PyTorch/TensorFlow) ಮತ್ತು ಓವರ್‌ಫಿಟಿಂಗ್](./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) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**ಕಂಪ್ಯೂಟರ್ ದೃಶ್ಯ**](./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 ನಲ್ಲಿ ಕಂಪ್ಯೂಟರ್ ದೃಶ್ಯ ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [ಕಂಪ್ಯೂಟರ್ ದೃಶ್ಯಕ್ಕೆ ಪರಿಚಯ. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [ಕನ್ವಲ್ಯೂಷನಲ್ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್ಸ್](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ವಾಸ್ತುಶಿಲ್ಪ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [ಪೂರ್ವ-ತರಬೇತಿ ಮಾಡಿದ ನೆಟ್‌ವರ್ಕ್ಗಳು ಮತ್ತು ಟ್ರಾನ್ಸ್‌ಫರ್ ಲರ್ನಿಂಗ್](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [ತರಬೇತಿ ತಂತ್ರಗಳು](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 04 | [ಮಲ್ಟಿ-ಲೆಯರ್ಡ್ ಪರ್ಸೆಪ್ಟ್ರಾನ್ ಮತ್ತು ನಮ್ಮದೇ ಫ್ರೇಮ್ವರ್ಕ್ ರಚನೆ](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [ಫ್ರೇಮ್ವರ್ಕ್‌ಗಳಿಗೆ ಪರಿಚಯ (PyTorch/TensorFlow) ಮತ್ತು ಓವರ್‌ಫಿಟ್‌ಟಿಂಗ್](./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) | [ಲ್ಯಾಬ್](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**ಕಂಪ್ಯೂಟರ್ ದೃಷ್ಟಿ**](./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)| [ಮೈಕ್ರೋಸಾಫ್ಟ್ ಏಜ್ಯೂರ್‌ನಲ್ಲಿ ಕಂಪ್ಯೂಟರ್ ದೃಷ್ಟಿಯನ್ನು ಕಂಡುಹಿಡಿಯಿರಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [ಕಂಪ್ಯೂಟರ್ ದೃಷ್ಟಿಗೆ ಪರಿಚಯ. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [ಕನ್ವಲ್ಯೂಷನಲ್ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ವಾಸ್ತುಶಿಲ್ಪಗಳು](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [ಮುಂಚಿತವಾಗಿ ತರಬೇತುಗೊಂಡ ನೆಟ್‌ವರ್ಕ್‌ಗಳು ಮತ್ತು ವರ್ಗಾವಣೆ ಕಲಿಕೆ](./lessons/4-ComputerVision/08-TransferLearning/README.md) ಮತ್ತು [ತರಬೇತಿ ಪರಿಕಥೆಗಳು](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [ಆಟೋಎಂಕೋಡರ್‌ಗಳು ಮತ್ತು VAEಗಳು](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [ಜನರೇಟಿವ್ ಏಡ್ವರ್ಸೆರಿಯಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು ಮತ್ತು ಕಲಾತ್ಮಕ ಶೈಲಿ ವರ್ಗಾವಣೆ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 10 | [ಜನರೇಟಿವ್ ಆಡವರ್ಸರಿಯಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು & ಕಲೆ ಶೈಲಿ ವರ್ಗಾವಣೆ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [ವಸ್ತು ಗುರುತಿಸುವಿಕೆ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ಲ್ಯಾಬ್](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [ಸೆಮ್ಯಾಂಟಿಕ್ ಸೆಗ್ಮೆಂಟೇಶನ್. 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 | [**ಸ್ವಾಭಾವಿಕ ಭಾಷಾ ಸಂಸ್ಕರಣೆ**](./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 ನಲ್ಲಿ ಸ್ವಾಭಾವಿಕ ಭಾಷಾ ಸಂಸ್ಕರಣೆಯನ್ನು ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [ಪಠ್ಯ ಪ್ರತಿನಿಧಾನ. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [ಸಾಮ್ಯಾಂತಿಕ ಪದ ಏಂಬೆಡ್ಡಿಂಗ್‌ಗಳು. Word2Vec ಮತ್ತು 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 | [ಭಾಷಾ ಮಾದರೀಕರಣ. ನಿಮ್ಮದೇ ಎಂಬೆಡ್ಡಿಂಗ್‌ಗಳನ್ನು ತರಬೇತಿ ಮಾಡುವುದು](./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) | [ಲ್ಯಾಬ್](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [ರಿಕರೆಂಟ್ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್ಸ್](./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 | [ಜನರೇಟಿವ್ ರಿಕರೆಂಟ್ ನೆಟ್‌ವರ್ಕ್ಸ್](./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) | [ಲ್ಯಾಬ್](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [ಟ್ರಾನ್ಸ್‌ಫಾರ್ಮರ್ಸ್. 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 | [ನಾಮಿತ ಎಂಟಿಟಿ ಗುರುತிப்பு](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ಲ್ಯಾಬ್](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [ವಿಶಾಲ ಭಾಷಾ ಮಾದರಿಗಳು, ಪ್ರಾಂಪ್ಟ್ ಪ್ರೋಗ್ರಾಮಿಂಗ್ ಮತ್ತು ಕಡಿಮೆ-ಶಾಟ್ ಕಾರ್ಯಗಳು](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **ಇತರೆ AI ತಂತ್ರಗಳು** || | -| 21 | [ಆನುವಂಶಿಕ ಆಲ್ಗೋರಿದಮ್‌ಗಳು](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [ಡೀಪ್ ರೀಇನ್ಫೋರ್ಸ್ಮೆಂಟ್ ಲರ್ನಿಂಗ್](./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) | [ಲ್ಯಾಬ್](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [ಬಹು-ಏಜೆಂಟ್ ವ್ಯವಸ್ಥೆಗಳು](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI ನ ನೈತಿಕತೆ** | | | +| 12 | [ಅರ್ಥಪೂರ್ಣ ವಿಭಾಗೋದ್ದೇಶ. U-ನೆಟ್](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**ಪ್ರಾಕೃತಿಕ ಭಾಷಾ ಸಂಸ್ಕರಣೆ**](./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) | [ಮೈಕ್ರೋಸಾಫ್ಟ್ ಏಜ್ಯೂರ್‌ನಲ್ಲಿ ಪ್ರಾಕೃತಿಕ ಭಾಷಾ ಸಂಸ್ಕರಣೆಯನ್ನು ಅನ್ವೇಷಿಸಿ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [ಪಠ್ಯ ಪ್ರತಿನಿಧಾನ. ಬೋ/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 | [ಅರ್ಥಪೂರ್ಣ ಶಬ್ದ ಎಂಬೆಡ್ಡಿಂಗ್‌ಗಳು. ವರ್ಲ್ಡ್2ವೇಕ್ ಮತ್ತು ಗ್ಲೋವ್](./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 | [ಭಾಷಾ ಮಾದರೀಕರಣ. ನಿಮ್ಮದೇ ಎಂಬೆಡ್ಡಿಂಗ್‌ಗಳಿಗೆ ತರಬೇತಿ](./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) | [ಲ್ಯಾಬ್](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [ಪುನರಾವೃತ್ತ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು](./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 | [ಜನರೇಟಿವ್ ಪುನರಾವೃತ್ತ ನೆಟ್‌ವರ್ಕ್‌ಗಳು](./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) | [ಲ್ಯಾಬ್](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [ಟ್ರಾನ್ಸ್‌ಫಾರ್ಮರ್‌ಗಳು. 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 | [ನಾಮವಾಚಕ ಘಟಕ ಗುರುತಿಸುವಿಕೆ](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ಲ್ಯಾಬ್](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [ದೊಡ್ಡ ಭಾಷಾ ಮಾದರಿ, ಪ್ರಾಂಪ್ಟ್ ಪ್ರೋಗ್ರಾಮಿಂಗ್ ಮತ್ತು ಕಡಿಮೆ-ಶಾಟ್ ಕಾರ್ಯಗಳು](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **ಇತರೆ AI ತಂತ್ರಜ್ಞಾನಗಳು** || | +| 21 | [ಜನ್ಯ ಅಲ್ಗೊರಿದಮ್‌ಗಳು](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [ಗಿನಾಯಿತ ಪ್ರೋತ್ಸಾಹ ಕಲಿಕೆ](./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) | [ಲ್ಯಾಬ್](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [ಮಲ್ಟಿ-ಏಜೆಂಟ್ ವ್ಯವಸ್ಥೆಗಳು](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **AI ನೈತಿಕತೆ** | | | | 24 | [AI ನ ನೈತಿಕತೆ ಮತ್ತು ಜವಾಬ್ದಾರಿಯುತ AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: ಜವಾಬ್ದಾರಿಯುತ AI ತತ್ವಗಳು](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **ಹೆಚ್ಚುವರಿ** | | | -| 25 | [ಮಲ್ಟಿ-ಮೋಡಲ್ ನೆಟ್‌ವರ್ಕ್ಗಳು, CLIP ಮತ್ತು VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| IX | **ಅತिरिक्तಗಳು** | | | +| 25 | [ಮಲ್ಟಿ-ಮೋಡಲ್ ನೆಟ್‌ವರ್ಕ್‌ಗಳು, CLIP ಮತ್ತು VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [ನೋಟ್‌ಬುಕ್](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## ಪ್ರತಿ ಪಾಠದಲ್ಲಿ ಒಳಗೊಂಡಿರುವವು +## ಪ್ರತಿಯೊಂದು ಪಾಠದಲ್ಲಿ ಇದಾಗಿವೆ -* ಪೂರ್ವ ಓದಿನ ಸಾಮಗ್ರಿ -* ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ ಜುಪಿಟರ್ ನೋಟ್‌ಬುಕ್ಸ್, ಸಾಮಾನ್ಯವಾಗಿ ಫ್ರೇಮ್ವర్క್ (**PyTorch** ಅಥವಾ **TensorFlow**) ನಿರ್ದಿಷ್ಟವಾಗಿರುವವು. ಕಾರ್ಯನಿರ್ವಹಿಸಬಹುದಾದ ನೋಟ್‌ಬುಕ್‌ನಲ್ಲಿ ಕೂಡ ಬಹಳಷ್ಟು ಸಿದ್ಧಾಂತಾತ್ಮಕ ವಿಷಯವಿದೆ, ಆದ್ದರಿಂದ ವಿಷಯವನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ನೀವು ಕನಿಷ್ಠ ಒಂದು ಆವೃತ್ತಿಯ ನೋಟ್‌ಬುಕ್ (ಯಾವುದೇ ಒಂದು: PyTorch ಅಥವಾ TensorFlow) ನೋಡಿ ಹೋಗಬೇಕು. -* **ಲ್ಯಾಬ್‌ಗಳು** ಕೆಲವು ವಿಷಯಗಳಿಗೆ ಲಭ್ಯವಿದ್ದು, ಅವು ನಿಮಗೆ ನೀವು ಕಲಿತ ವಿಷಯವನ್ನು ನಿರ್ದಿಷ್ಟ ಸಮಸ್ಯೆಗೆ ಅನ್ವಯಿಸುವ ಪ್ರಯತ್ನ ಮಾಡಲು ಅವಕಾಶವನ್ನು ನೀಡುತ್ತವೆ. -* ಕೆಲ ವಿಭಾಗಗಳಲ್ಲಿ ಸಂಬಂಧಿತ ವಿಷಯಗಳನ್ನು ಒಳಗೊಂಡಿರುವ [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ಮೋಡ್ಯೂಲ್‌ಗಳಿಗೆ ಲಿಂಕ್‌ಗಳಿವೆ. +* ಪೂರ್ವಓದುವಿಕೆ ಸಿದ್ಧಾಂತ +* ex.execute ಮಾಡುವ ಜುಪೇಟರ್ ನೋಟ್‌ಬುಕ್‌ಗಳು, ಸಾಮಾನ್ಯವಾಗಿ ಫ್ರೇಮ್ವರ್ಕ್ (**PyTorch** ಅಥವಾ **TensorFlow**)ಗೆ ವಿಶೇಷವಾಗಿವೆ. ex.execute ಮಾಡಬಹುದಾದ ನೋಟ್‌ಬುಕ್‌ನಲ್ಲಿ ಸಾಕಷ್ಟು ಸಿದ್ಧಾಂತಾಂಶವೂ ಇದೆ, ಹಾಗಾಗಿ ವಿಷಯವನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ನೀವು ಕನಿಷ್ಠ ಒಂದು ಆವೃತ್ತಿನ ನೋಟ್‌ಬುಕ್ (PyTorch ಅಥವಾ TensorFlow) ಓದಬೇಕು. +* ಕೆಲವು ವಿಷಯಗಳಿಗೆ ಲಭ್ಯವಿರುವ **ಲ್ಯಾಬ್‌ಗಳು**, ನೀವು ಕಲಿತ ವಿಷಯವನ್ನು ನಿಖರವಾದ ಸಮಸ್ಯೆಗೆ ಪ್ರಯೋಗವಾಗಿ ಪ್ರಯತ್ನಿಸುವ ಅವಕಾಶ ನೀಡುತ್ತವೆ. +* ಕೆಲವೊಂದು ವಿಭಾಗಗಳಲ್ಲಿ ಸಂಬಂಧಿತ ವಿಷಯಗಳನ್ನು ಒಳಗೊಂಡಿರುವ [**MS ಲೇರ್ಣ್**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ಮಾಯಾಜಾಲಗಳ ಲಿಂಕ್‌ಗಳು ಇವೆ. -## ಪ್ರಾರಂಭಿಸಲು +## ಪ್ರಾರಂಭಿಸುವುದು -### 🎯 AI ಗೆ ಹೊಸದಾಗಿದ್ದೀರಾ? ಇಲ್ಲಿ ಪ್ರಾರಂಭಿಸಿ! +### 🎯 AIಗೆ ಹೊಸದಾಗಿದ್ದೀರಾ? ಇಲ್ಲಿ ಪ್ರಾರಂಭಿಸಿ! -ನೀವು ಸಂಪೂರ್ಣವಾಗಿ AI ಗೆ ಹೊಸವನಾಗಿದ್ದರೆ ಮತ್ತು ತ್ವರಿತ, ಪ್ರಾತ್ಯಕ್ಷಿಕ ಉದಾಹರಣೆಗಳನ್ನು ನೋಡಲು ಬಯಸಿದರೆ, ನಮ್ಮ [**ಆರಂಭಿಕ ಸ್ನೇಹಿ ಉದಾಹರಣೆಗಳು**](./examples/README.md) ನೋಡಿ! ಇವುಗಳಲ್ಲಿ ಇವೆ: +ನೀವು ಸಂಪೂರ್ಣ ಹೊಸದಾಗಿ AIಗೆ ಸಂಬಂಧಿಸಿದ ಕಲಿಕೆಗಳಿಗೆ ತ್ವರಿತ, ಕೈಗೊಳ್ಳಬಹುದಾದ ಉದಾಹರಣೆಗಳನ್ನು ಬಯಸಿದರೆ, ನಮ್ಮ [**ಆರಂಭಿಕ ಸ್ನೇಹಪೂರ್ವಕ ಉದಾಹರಣೆಗಳ**](./examples/README.md) ಪರಿಶೀಲಿಸಿ! ಇವು ಒಳಗೊಂಡಿವೆ: -- 🌟 **ಹಲೋ AI ಜಗತ್ತು** - ನಿಮ್ಮ ಮೊದಲ AI ಪ್ರೋಗ್ರಾಮ್ (ನಮೂನಾ ಗುರುತಿಸುವಿಕೆ) -- 🧠 **ಸರಳ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್** - ಸ್ಕ್ರ್ಯಾಚ್‌ನಿಂದ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್ ನಿರ್ಮಿಸಿ -- 🖼️ **ಚಿತ್ರ ವರ್ಗೀಕರಣ** - ವಿವರಣಾತ್ಮಕ ಟಿಪ್ಪಣಿಗಳೊಂದಿಗೆ ಚಿತ್ರಗಳನ್ನು ವರ್ಗೀಕರಿಸಿ -- 💬 **ಪಠ್ಯದ ಭಾವನಾತ್ಮಕತೆ** - ಧನಾತ್ಮಕ/ನಕಾರಾತ್ಮಕ ಪಠ್ಯವನ್ನು ವಿಶ್ಲೇಷಿಸಿ +- 🌟 **ಹಲೋ AI ವಿಶ್ವ** - ನಿಮ್ಮ ಮೊದಲ AI ಪ್ರೋಗ್ರಾಂ (ಮಾದರಿ ಗುರುತಿಸುವಿಕೆ) +- 🧠 **ಸರಳ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್** - ಹುಟ್ಟುಹಬ್ಬದಿಂದ ನ್ಯೂರಲ್ ನೆಟ್‌ವರ್ಕ್ ರಚಿಸಿ +- 🖼️ **ಚಿತ್ರ ವರ್ಗೀಕರಣಕಾರ** - ವಿವರವಾದ ಕಾಮೆಂಟులతో ಚಿತ್ರಗಳನ್ನು ವರ್ಗೀಕರಿಸಿ +- 💬 **ಪಠ್ಯದ ಭಾವನೆ** - ಧನಾತ್ಮಕ/ನಕಾರಾತ್ಮಕ ಪಠ್ಯವನ್ನು ವಿಶ್ಲೇಷಿಸಿ -These examples are designed to help you understand AI concepts before diving into the full curriculum. +ಈ ಉದಾಹರಣೆಗಳು ಪೂರ್ಣ ಪಾಠ್ಯಕ್ರಮಕ್ಕೆ ನುಗ್ಗುವ ಮುನ್ನ AI ತತ್ವಗಳನ್ನು ನಿಮಗೆ ತಿಳಿಯಲು ರೂಪುಗೊಂಡಿವೆ. -### 📚 ಪೂರ್ಣ ಪಠ್ಯಕ್ರಮ ಸೆಟಪ್ +### 📚 ಪೂರ್ಣ ಪಾಠ್ಯಕ್ರಮ ವ್ಯವಸ್ಥೆ -- ನಾವು ನಿಮ್ಮ ಅಭಿವೃದ್ಧಿ ಪರಿಸರವನ್ನು ಹೊಂದಿಸಲು ಸಹಾಯ ಮಾಡುವಂತೆ ಒಂದು [ಸೆಟಪ್ ಪಾಠ](./lessons/0-course-setup/setup.md) ರಚಿಸಿದ್ದೇವೆ. - ಶಿಕ್ಷಕರಿಗಾಗಿ, ನಾವು ನಿಮಗಾಗಿ ಒಂದು [ಪಠ್ಯಕ್ರಮ ಸೆಟಪ್ ಪಾಠ](./lessons/0-course-setup/for-teachers.md) ಕೂಡ ರಚಿಸಿದ್ದೇವೆ! -- ಹೇಗೆ [VSCode ಅಥವಾ Codepace ನಲ್ಲಿ ಕೋಡ್ ಚಲಾಯಿಸುವುದು](./lessons/0-course-setup/how-to-run.md) +- ನಾವು ನಿಮ್ಮ ಅಭಿವೃದ್ಧಿ ಪರಿಸರವನ್ನು ಸೆಟ್‌ಅಪ್ ಮಾಡಲು ಸಹಾಯ ಮಾಡಲು [ಸೆಟ್‌ಅಪ್ ಪಾಠ](./lessons/0-course-setup/setup.md) ಅನ್ನು ರಚಿಸಿದೆವು. - ಶಿಕ್ಷಕರಿಗಾಗಿ, ನಾವು ನಿಮ್ಮಿಗೆ ಸಹ ಒಂದು [ಪಾಠ್ಯಕ್ರಮ ಸೆಟ್‌ಅಪ್ ಪಾಠ](./lessons/0-course-setup/for-teachers.md) ರಚಿಸಿದೆವು! +- [VSCode ಅಥವಾ Codepace ನಲ್ಲಿ ಕೋಡ್ ಅನ್ನು ಹೇಗೆ ರನ್ ಮಾಡುವುದು](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +ಈ ಹಂತಗಳನ್ನು ಅನುಸರಿಸಿ: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +ಅಂಶ ಸಂಕಲನವನ್ನು Fork ಮಾಡಿ: ಈ ಪುಟದ ಮೇಲೆ-ಬಲ ಮೇಲ್ಭಾಗದಲ್ಲಿ ಇರುವ "Fork" ಬಟನ್ ಕ್ಲಿಕ್ ಮಾಡಿ. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +ಅಂಶ ಸಂಕಲನವನ್ನು ಕ್ಲೋನ್ ಮಾಡಿ: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +ನಂತರ ಅದನ್ನು ಸುಲಭವಾಗಿ ಹುಡುಕಲು ಈ ರೆಪೊಗೆ ಸ್ಟಾರ್ (🌟) ನೀಡುವುದನ್ನು ಮರೆಯಬೇಡಿ. -## ಇತರ ಕಲಿಯುವವರನ್ನು ಭೇಟಿಮಾಡಿ +## ಇನ್ನಿತರ ಕಲಿಕçilerನ್ನು ಭೇಟಿ ಮಾಡಿ -Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +ನಮ್ಮ [ಅಧಿಕೃತ AI Discord ಸರ್ವರ್](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ನಲ್ಲಿ ಸೇರಿ, ಈ ಕೋರ್ಸ್ ತೆಗೆದುಕೊಂಡು ಮುಂದುವರಿಯುತ್ತಿರುವ ಇತರ ಕಲಿಕçylರ ಜೊತೆ ಸಂಪರ್ಕ ಸಾಧಿಸಿ ಮತ್ತು ಬೆಂಬಲ ಪಡೆಯಿರಿ. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +ನೀವು ಉತ್ಪನ್ನ ಪ್ರತಿಕ್ರಿಯೆ ಅಥವಾ ಪ್ರಶ್ನೆಗಳಿದ್ದರೆ ನಾವು [Azure AI Foundry ಡೆವಲಪರ್ ಫೋರಮ್](https://aka.ms/foundry/forum) ಅನ್ನು ಭೇಟಿ ಮಾಡಿ. -## Quizzes +## ಪ್ರಶ್ನೋತ್ತರಗಳು -> **ಕ್ವಿಜ್‌ಗಳ ಬಗ್ಗೆ ಒಂದು ಟಿಪ್ಪಣಿ**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **ಪ್ರಶ್ನೋತ್ತರಗಳ ಕುರಿತು ಒಂದು ಟಿಪ್ಪಣಿ**: ಎಲ್ಲ ಪ್ರಶ್ನೋತ್ತರಗಳು etc\quiz-app ಥಳದಲ್ಲಿ Quiz-app ಫೋಲ್ಡರ್‌ನಲ್ಲಿ ಸಂಗ್ರಹಿಸಲಾಗಿದೆ, ಅಥವಾ [ಇಲ್ಲಿ ಆನ್‌లೈನ್](https://ff-quizzes.netlify.app/) ಲಭ್ಯವಿದೆ. ಅವು ಪಾಠಗಳಲ್ಲಿ ಲಿಂಕ್ ಮಾಡಲ್ಪಟ್ಟಿವೆ, ಪ್ರಶ್ನೋತ್ತರ ಆಪ್ ಸ್ಥಳೀಯವಾಗಿ ರನ್ ಮಾಡಬಹುದು ಅಥವಾ Azure ಗೆ ನಿಯೋಜಿಸಬಹುದು; `quiz-app` ಫೋಲ್ಡರ್‌ನ ಸೂಚನೆಗಳನ್ನು ಅನುಸರಿಸಿ. ಅವು ಆವರ್ತನವಾಗಿ ಸ್ಥಳೀಯೀಕರಿಸಲಾಗುತ್ತಿವೆ. -## ಸಹಾಯ ಬೇಕು +## ಸಹಾಯ ಬೇಕೆ? -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +ನೀವು ಸಲಹೆಗಳು ಹೊಂದಿದ್ದರೆ ಅಥವಾ ವ್ಯಾಕರಣ ಅಥವಾ ಕೋಡ್ ದೋಷಗಳನ್ನು ಕಂಡುಕೊಂಡಿದ್ದರೆ, ಸಮಸ್ಯೆಯನ್ನು ವರದಿ ಮಾಡಿ ಅಥವಾ ಪುಲ್ ರಿಕ್ವಸ್ಟ್ ಮಾಡಿ. ## ವಿಶೇಷ ಧನ್ಯವಾದಗಳು -* **✍️ ಪ್ರಾಥಮಿಕ ಲೇಖಕ:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 ಸಂಪಾದಕ:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 ಸ್ಕೆಚ್ ನೋಟ್ ಚಿತ್ರಕಾರ:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ ಕ್ವಿಜ್ ಸೃಷ್ಟಿಕರ್ತರು:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 ಮುಖ್ಯ ಕೊಡುಗೆದಾರರು:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ ಪ್ರಮುಖ ಲೇಖಕ:** [Dmitry Soshnikov](http://soshnikov.com), ಪಿಎಚ್ಚಡಿ +* **🔥 ಸಂಪಾದಕರು:** [Jen Looper](https://twitter.com/jenlooper), ಪಿಎಚ್ಚಡಿ +* **🎨 ಸ್ಕೆಚ್ನೋಟ್ ಚಿತ್ರಣಕಾರ:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ ಪ್ರಶ್ನೋತ್ತರ ರಚನಾಕಾರರು:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 ಕೋರ್ ಕೊಡುಗೆದಾರರು:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## ಇತರೆ ಪಠ್ಯಕ್ರಮಗಳು +## ಇತರೆ ಪಾಠ್ಯಕ್ರಮಗಳು -Our team produces other curricula! Check out: +ನಮ್ಮ ತಂಡ ಇತರೆ ಪಾಠ್ಯಕ್ರಮಗಳನ್ನು ಸೃಷ್ಟಿಸುತ್ತದೆ! ಪರಿಶೀಲಿಸಿ: ### LangChain -[![LangChain4j - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು LangChain4j](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು LangChain.js](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- -### Azure / Edge / MCP / Agents -[![AZD - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 / ಏಜೆಂಟ್ಗಳು +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು AZD](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು Edge AI](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು MCP](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು AI ಏಜೆಂಟ್ಗಳು](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 - ಆರಂಭಿಕರಿಗೆ](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) +### ಜನರೇಟಿವ್ AI ಸರಣಿಗಳು +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳ್ಳುವವರಿಗಾಗಿ ಜನರೇಟಿವ್ AI](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) +[![ಜನರೇಟಿವ್ 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) +[![ಜನರೇಟಿವ್ AI (ಜಾವಾ)](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) +[![ಜನರೇಟಿವ್ AI (ಜಾವಾಸ್ಕ್ರಿಪ್ಟ್)](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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 - ಆರಂಭಿಕರಿಗೆ](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) +### ಮೂಲ ಅಧ್ಯಯನ +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು ML](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು ಡೇಟಾ ಸೈನ್ಸ್](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು AI](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು ಸೈಬರ್‌ಸುರಕ್ಷತೆ](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು ವೆಬ್ ಡೆವಲಪ್ಮೆಂಟ್](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು IoT](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) +[![ಮೂಲಭೂತ ಕಲಿತುಕೊಳವರು XR ಅಭಿವೃದ್ಧಿ](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 ಸಾಹಸ](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) +### ಕೋಪೈಲಟ್ ಸರಣಿಗಳು +[![AI ಜೋಡಣಾ ಕಾರ್ಯಕ್ರಮಕ್ಕಾಗಿ ಕೋಪೈಲಟ್](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) +[![C#/.NETಗಾಗಿ ಕೋಪೈಲಟ್](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) +[![ಕೋಪೈಲಟ್ ಸಾಹಸ](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) -## ಸಹಾಯ ಪಡೆಯಿರಿ +## ಸಹಾಯ ಪಡೆಯುವುದು -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +ನೀವು ಅटकಿದರೆ ಅಥವಾ AI ಅಪ್ಲಿಕೇಶನ್ ನಿರ್ಮಾಣ ಕುರಿತ ಯಾವುದೇ ಪ್ರಶ್ನೆಗಳಿದ್ದರೆ. MCP ಬಗ್ಗೆ ಚರ್ಚೆಗಳಲ್ಲಿ ಸಹಪಾಠಿಗಳು ಮತ್ತು ಅನುಭವಜ್ಞ ಡೆವಲಪರ್‌ಗಳ ಜೊತೆಗೆ ಸೇರಿ. ಇದು ಪ್ರಶ್ನೆಗಳಿಗೆ ಸುಸಂಸ್ಕೃತ ಸಮುದಾಯವಾಗಿದ್ದು ಜ್ಞಾನ ಮುಕ್ತವಾಗಿ ಹಂಚಿಕೊಳ್ಳಲಾಗುತ್ತದೆ. -[![Microsoft Foundry ಡಿಸ್ಕಾರ್ಡ್](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) -If you have product feedback or errors while building visit: +ನೀವು ನಿರ್ಮಾಣ ಮಾಡುವಾಗ ಉತ್ಪನ್ನ ಪ್ರತಿಕ್ರಿಯೆ ಅಥವಾ ದೋಷಗಳಿದ್ದರೆ ಭೇಟಿ ನೀಡಿ: -[![Microsoft Foundry ಡೆವಲಪರ್ ಫೋರಂ](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) +[![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) --- -ಜವಾಬ್ದಾರಿ ನಿರಾಕರಣೆ: -ಈ ದಸ್ತಾವೇಜನ್ನು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ಶುದ್ಧತೆಯನ್ನು ಸಾಧಿಸಲು ಪ್ರಯತ್ನಿಸಿದರೂ, ದಯವಿಟ್ಟು ಗಮನಿಸಿರಿ — ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ತಪ್ಪುಗಳು ಅಥವಾ ಅಸತ್ಯತೆಗಳು ಇರಬಹುದಾಗಿದೆ. ಮೂಲ ದಸ್ತಾವೇಜನ್ನು ಅದರ ಮೂಲ ಭಾಷೆಯಲ್ಲಿಯೇ ಅಧಿಕೃತ ಮೂಲವೆಂದು ಪರಿಗಣಿಸಬೇಕು. ಗಂಭೀರ ಮಾಹಿತಿの場合 ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಬಳಸಬೇಕು ಎಂದು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ಅರ್ಥಗರ್ಭಿತತೆಗಳು ಅಥವಾ ತಪ್ಪಾದ ವಿವರಣೆಗಳಿಗಾಗಿ ನಾವು ಜವಾಬ್ದಾರಿಯಾಗುವುದಿಲ್ಲ. +**ಅಸ್ಪಷ್ಟತೆ**: +ಈ ದಾಖಲೆಯನ್ನು AI ಭಾಷಾಂತರ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿಕೊಂಡು ಭಾಷಾಂತರಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಗಾಗಿ ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ, ಸ್ವಯಂಚಾಲಿತ ಭಾಷಾಂತರಗಳಲ್ಲಿ ತಪ್ಪುಗಳಿರಬಹುದೆಂಬುದನ್ನು ದಯವಿಟ್ಟು ಗಮನದಲ್ಲಿಡಿ. ಮೂಲ ಭಾಷೆಯ ಮೂಲ ದಾಖಲೆಯೇ ಪ್ರಾಮಾಣಿಕ ಮೂಲವಾಗಿರುವುದು ಪರಿಗಣನೆಗೆ ಒಳಪಡಬೇಕು. ಮಹತ್ವಪೂರ್ಣ ಮಾಹಿತಿಗಾಗಿ ವೃತ್ತಿಪರ ಮಾನವ ಭಾಷಾಂತರವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗಿದೆ. ಈ ಭಾಷಾಂತರ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪುಅರ್ಥಗಳ ಅಥವಾ ತಪ್ಪು ವ್ಯಾಖ್ಯಾನಗಳಿಗಾಗಿ ನಾವು ಜವಾಬ್ದಾರರಾಗಿಲ್ಲ. \ No newline at end of file diff --git a/translations/ml/README.md b/translations/ml/README.md index 2546f27a..6387d264 100644 --- a/translations/ml/README.md +++ b/translations/ml/README.md @@ -1,186 +1,152 @@ -[![GitHub ലൈസൻസ്](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub സംഭാഗദാതാക്കൾ](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub പ്രശ്നങ്ങൾ](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub പുൾ-റിക്വസ്റ്റുകൾ](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs സ്വാഗതം](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub നിരീക്ഷകർ](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub ഫോർക്കുകൾ](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub സ്റ്റാർസ്](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Microsoft Foundry ഡിസ്‌കോർഡ്](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) -# കൃത്രിമ ബുദ്ധി (Artificial Intelligence) مبت初心ക്കാർക്കുള്ള കോഴ്സ് - ഒരു കരിക്കുലം +# ആരംഭക്കാർക്കായി കൃത്രിമ ബുദ്ധിമുട്ട് - ഒരു പ്രോഗ്രാം -|![സ്കെച്‌നോട്ട് - @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ml.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ml.png)| |:---:| -| AI For Beginners - _സ്കെച്‌നോട്ട് by [@girlie_mac](https://twitter.com/girlie_mac)_ | +| ആരംഭക്കാർക്കായുള്ള AI - _സ്കെച്ച് നോട്ടുകൾ [@girlie_mac](https://twitter.com/girlie_mac) തുടങ്ങിയവശേഷങ്ങൾ_ | -നമ്മുടെ 12-ആഴ്ച, 24-പാഠങ്ങളടങ്ങിയ കരിക്കുലം ഉപയോഗിച്ച് **കൃത്രിമ ബുദ്ധി**(AI)യുടെ ലോകം അന്വേഷിക്കുക! ഇതിൽ പ്രായോഗിക പാഠങ്ങൾ, ക്വിസ്, ലാബുകൾ എന്നിവ ഉൾപ്പെടുന്നു. ഈ കരിക്കുലം ആരംഭക്കാർക്ക് അനുയോജ്യമായതാണു, TensorFlow, PyTorch പോലുള്ള ഉപകരണങ്ങളും AI നുള്ള നയ ശക്തതകളും ഉൾപ്പെടുന്നു +നമ്മുടെ 12-ആഴ്ചയിലുള്ള, 24-പാഠങ്ങളുള്ള പ്രോഗ്രാം വഴി **കൃത്രിമ ബുദ്ധിമുട്ട്** (AI) ലോകം കണ്ടെത്തുക! ഇതിൽ പ്രായോഗിക വിദ്യകൾ, ക്വിസുകൾ, ലാബുകൾ എന്നിവ ഉൾപ്പെടുന്നു. പ്രോഗ്രാം ആരംഭക്കാർക്ക് അനുയോജ്യമാണ്, TensorFlow, PyTorch പോലുള്ള ഉപകരണങ്ങൾക്കൊപ്പം AI-യിൽ നയത്തിനും അങ്ങീകാരമാണ്. ### 🌐 ബഹുഭാഷാ പിന്തുണ -#### GitHub Action വഴി പിന്തുണ ലഭ്യമാണ് (സ്വയമാറ്റവും എപ്പോഴും നവീകരിച്ചിട്ടുള്ളതും) +#### GitHub ആക്ഷൻ വഴി പിന്തുണ (യാന്ത്രികവും എപ്പോഴും പുതുക്കപ്പെട്ടതും) -[അറബി](../ar/README.md) | [ബംഗാളി](../bn/README.md) | [ബൾഗേറിയൻ](../bg/README.md) | [ബർമീസ് (മ്യാൻമാർ)](../my/README.md) | [ചൈനീസ് (സിംപ്ലിഫൈഡ്)](../zh/README.md) | [ചൈനീസ് (പരമ്പരാഗതം, ഹോങ്കോങ്)](../hk/README.md) | [ചൈനീസ് (പരമ്പരാഗതം, മക്കാവ്)](../mo/README.md) | [ചൈനീസ് (പരമ്പരഗ്, തായ്‌വാൻ)](../tw/README.md) | [ക്രൊയേഷ്യൻ](../hr/README.md) | [ചെക്ക്](../cs/README.md) | [ഡാനിഷ്](../da/README.md) | [ഡച്ച്](../nl/README.md) | [എസ്റ്റോണിയൻ](../et/README.md) | [ഫിന്നീഷ്](../fi/README.md) | [ഫ്രഞ്ച്](../fr/README.md) | [ജർമ്മൻ](../de/README.md) | [ഗ്രീക്ക്](../el/README.md) | [ഹീബ്രു](../he/README.md) | [ഹിന്ദി](../hi/README.md) | [ഹംഗേറിയൻ](../hu/README.md) | [ഇന്ദോനേഷ്യൻ](../id/README.md) | [ഇറ്റാലിയൻ](../it/README.md) | [ജപ്പാനീസ്](../ja/README.md) | [കന്നഡ](../kn/README.md) | [കൊറിയൻ](../ko/README.md) | [ലിത്വാനിയൻ](../lt/README.md) | [മലായ്](../ms/README.md) | [മലയാളം](./README.md) | [മറാത്തി](../mr/README.md) | [നെപ്പാളി](../ne/README.md) | [നൈജീരിയൻ പിഡ്ജിന്‍](../pcm/README.md) | [നോർവീജിയൻ](../no/README.md) | [പേർഷ്യൻ (ഫാർസി)](../fa/README.md) | [പോളിഷ്](../pl/README.md) | [പോർടുഗീസ് (ബ്രസീൽ)](../br/README.md) | [പോർടുഗീസ് (പോർച്ചുഗൽ)](../pt/README.md) | [പഞ്ചാബി (ഗുരുമുഖി)](../pa/README.md) | [റൊമാനിയൻ](../ro/README.md) | [റഷ്യൻ](../ru/README.md) | [സെർബിയൻ (സിറിലിക്)](../sr/README.md) | [സ്ലൊവാക്](../sk/README.md) | [സ്ലോവേനിയൻ](../sl/README.md) | [സ്പാനിഷ്](../es/README.md) | [സ്വാഹിലി](../sw/README.md) | [സ്വീഡിഷ്](../sv/README.md) | [ടാഗലോഗ് (ഫിലിപ്പിനൊ)](../tl/README.md) | [തമിഴ്](../ta/README.md) | [തെലുങ്ക്](../te/README.md) | [തായ്](../th/README.md) | [തുർക്കിഷ്](../tr/README.md) | [ഉക്രെയ്നിയൻ](../uk/README.md) | [ഉർദു](../ur/README.md) | [വിയറ്റ്നാമീസ്](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](./README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **പ്രാദേശികമായി ക്ലോൺ ചെയ്യാൻ ആഗ്രഹം ഉണ്ടോ?** + +> ഈ റെപ്പോസിറ്ററിയിൽ 50+ ഭാഷാ വിവർത്തനങ്ങൾ അടങ്ങിയിരിക്കുന്നു, ഇത് ഡൗൺലോഡ് വലുപ്പം ഏറെ വർദ്ധിപ്പിക്കുന്നു. വിവർത്തനങ്ങൾ ഇല്ലാതെ ക്ലോൺ ചെയ്യാൻ sparse checkout ഉപയോഗിക്കുക: +> ```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' +> ``` +> ഇത് ഈ കോഴ്സ് പൂർത്തിയാക്കാൻ നിങ്ങൾക്ക് ആവശ്യമായ എല്ലാം ഏറെ വേഗത്തിലുള്ള ഡൗൺലോഡോടെ നൽകുന്നു. -**കൂടുതൽ പരിഭാഷകൾ ആവശ്യമായാൽ പിന്തുണ ലഭ്യമായ ഭാഷകൾ [ഇവിടെയാണ്](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**കൂടുതൽ വിവർത്തന ഭാഷകൾക്കായ്ന് സഹായം ആഗ്രഹിക്കുന്നുവെങ്കിൽ, അവ ഇവിടെ ലിസ്റ്റ് ചെയ്തിരിക്കുന്നു [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## കമ്മ്യൂണിറ്റിയിൽ ചേരുക -[![Microsoft Foundry ഡിസ്‌കോർഡ്](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## കമ്മ്യൂണിറ്റിയിൽ ചേർക്കാം +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## നിങ്ങൾ പഠിക്കേണ്ടത് +## നിങ്ങൾ പഠിക്കുന്നതെന്ത് -**[പാഠ്യപദ്ധതിയുടെ മൈൻഡ്മാപ്പ്](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[കോഴ്‌സിന്റെ മനസ്സക്ഷരി മാപ്പ്](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -ഈ കരിക്കുലത്തിൽ നിങ്ങൾ പഠിക്കുക: +ഈ പ്രോഗ്രാമിൽ നിങ്ങൾ പഠിക്കും: -* കൃത്രിമ ബുദ്ധിയുടെ വിവിധ സമീപനങ്ങൾ, "നല്ല പഴയ" പ്രതീകാത്മക സമീപനം ഉൾപ്പെടെ, **ജ്ഞാന പ്രതിനിധീകരണം**യും ന്യായീകരണവുമൊടുവിലായി ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **ന്യൂറൽ നെറ്റ്വർക്കുകൾ** மற்றும் **ഡീപ്പ് ലേണിംഗ്**, ഇവ ആധുനിക AI-യുടെ ഹൃദയഭാഗമാണ്. ഈ പ്രധാന വിഷയങ്ങളുടെ ആശയങ്ങൾ നാം രണ്ട് പ്രധാന ഫ്രെയിംവർക്കുകളിൽ - [TensorFlow](http://Tensorflow.org)യും [PyTorch](http://pytorch.org)ഉം കോഡ് ഉപയോഗിച്ച് വിശദീകരിക്കും. -* ചിത്രങ്ങളുമായും വാചകങ്ങളുമായും പ്രവർത്തിക്കാൻ അനുയോജ്യമായ **ന്യൂറൽ ആർക്കിടെക്ചറുകൾ**. നാം പുതിയ മോഡലുകൾ അടങ്ങിയവയെ ഉൾപ്പെടുത്തും, പക്ഷേ ഏറ്റവും പുതിയ ഗവേഷണത്തിനു പോലെ മുഴുവനായിരിക്കാമെന്നില്ല. -* കുറവ് ജനപ്രിയമായ AI സമീപനങ്ങൾ, ഉദാഹരണത്തിന് **ജനിതക ആൽഗോരിദങ്ങൾ** (Genetic Algorithms) και **മൾട്ടി-ഏജന്റ് സിസ്റ്റങ്ങൾ**. +* "നല്ല പഴയ" പ്രതീകാത്മക സമീപനം ഉൾപ്പെടെ വിവിധ കൃത്രിമ ബുദ്ധിമുട്ട് സമീപനങ്ങൾ, **ജ്ഞാന പ്രതിനിധാനം** (Knowledge Representation)യും ന്യായം (reasoning) ഉം ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* ആധുനിക AI-യുടെ ഹൃദയഭാഗമായ **ന്യൂറൽ നെറ്റ്‌വർക്കുകൾ** (Neural Networks)ും **ഡീപ്പ് ലേണിംഗ്** (Deep Learning)ഉം. ഈ സുപ്രധാന വിഷയങ്ങളുടെ ആശയങ്ങൾ രണ്ട് സുപ്രധാന ഫ്രെയിംവർക്കുകളിൽ ബോധ്യപ്പെടുത്തും - [TensorFlow](http://Tensorflow.org) ഉം [PyTorch](http://pytorch.org) ഉം. +* ചിത്രങ്ങളുമായി (Images) മൊഴികളുമായി (Text) പ്രവർത്തിക്കുന്ന **ന്യൂറൽ ആർക്കിടെക്ചറുകൾ**. അടുത്തകാലത്തെ മോഡലുകൾ ഉൾപെടുത്തും, പക്ഷേ ഇപ്പോഴത്തെ അവസ്ഥയിൽ കുറവായിരിക്കും. +* കൃത്രിമ ബുദ്ധിമുട്ടിലെ കുറച്ചുകൂടി അപരിചിതമായ സമീപനങ്ങൾ, ഉദാഹരണത്തിന് **ജനിതക ആൽഗൊരിതമുകൾ** (Genetic Algorithms)യും **മൾട്ടി-ഏജന്റ് സിസ്റ്റങ്ങൾ** (Multi-Agent Systems)ഉം. -ഈ കരിക്കുലത്തിൽ നമ്മൾ ഉൾപ്പെടുത്തിയില്ലാത്തതുകൾ: +ഈ പ്രോഗ്രാമിൽ ഉൾപെടുത്താത്തത്: -> [ഈ കോഴ്‌സിന്റെ എല്ലാ അധിക വിഭവങ്ങളും ഞങ്ങളുടെ Microsoft Learn ശേഖരത്തിൽ കണ്ടെത്തുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ഈ കോഴ്‌സ് സംബന്ധിച്ച മറ്റു എല്ലാ വിഭവങ്ങളും Microsoft Learn ശേഖരത്തിൽ കാണുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* വ്യാപാരത്തിൽ **AI** ഉപയോഗിക്കുന്ന ബിസിനസ് കേസുകൾ. Microsoft Learn-ിലെ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ലേണിംഗ് പാതയെടുക്കാൻ പരിഗണിക്കുക, അല്ലെങ്കിൽ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) സഹകരിച്ച് വികസിപ്പിച്ചിരിക്കുന്നു. -* **ക്ലാസിക് മെഷീൻ ലേണിംഗ്**, ഇത് ഞങ്ങളുടെ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) നന്നായി വിവരിച്ചിരിക്കുന്നു. -* പ്രായോഗിക AI അപ്ലിക്കേഷനുകൾ **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ഉപയോഗിച്ച് നിർമ്മിച്ചവ. ഇതിനായി, Microsoft Learn-ൽ ഉള്ള [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)** എന്നിവയുടെ മോഡ്യൂളുകൾ ആരംഭിക്കാൻ ഞങ്ങൾ ശിപാർശ ചെയ്യുന്നു. -* പ്രത്യേക ML **ക്ലൗഡ് ഫ്രെയിംവർക്കുകൾ**, ഉദാഹരണത്തിന് [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), അല്ലെങ്കിൽ [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) and [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) ലേണിംഗ് പാതകൾ ഉപയോഗിക്കാൻ പരിഗണിക്കുക. -* **സംവാദാത്മക AI**യും **ചാറ്റ് ബോടുകളും**. അതിന് വേറൊരു [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) ലേണിംഗ് പാതയുണ്ട്, കൂടുതൽ വിശദാംശങ്ങൾക്ക് നിങ്ങൾ [ഈ ബ്ലോഗ് പോസ്റ്റ്](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) കാണാവുന്നതാണ്. -* ഡീപ്പ് ലേൺണിങിന്റെ പിന്നിലെ **ഡീപ് ഗണിതം**. ഇതിന് ഞങ്ങൾ ശുപാർശ ചെയ്യുന്നത് Ian Goodfellow, Yoshua Bengio, Aaron Courville ലെ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ആണ്, ഇത് ഓൺലൈനായും [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)ലിലും ലഭ്യമാണ്. +* **ബിസിനസിൽ AI-യുടെ ഉപയോഗത്തിന്റെ** ബിസിനസ് കേസുകൾ. Microsoft Learn-ലുള്ള [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) പഠനപാത അല്ലെങ്കിൽ [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) സംയുക്തമായി വികസിപ്പിച്ചത്. +* നമ്മുടെ [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)ൽ നന്നായി വിശദീകരിച്ച **പരമ്പരാഗത മെഷീൻ ലേണിംഗ്** (Classic Machine Learning). +* **[കോಗ್ಗ്നിറ്റീവ് സർവീസസ്](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ഉപയോഗിച്ചും പ്രായോഗിക AI അപേക്ഷകൾ. അതിനായി Microsoft Learn ലെ [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [ന്യൂറൽ ഭാഷാ പ്രോസസ്സിംഗ്](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Service ഉപയോഗിച്ചുള്ള Generative AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** എന്നീ ഘടകങ്ങളിൽ തുടങ്ങണേ. +* പ്രത്യേക മെഷീൻ ലേണിംഗ് **ക്ലൗഡ് ഫ്രെയിം‌വർക്കുകൾ**, ഉദാഹരണത്തിന് [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), അല്ലെങ്കിൽ [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) and [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) പഠനപാതകൾ പരിഗണിക്കുക. +* **സംവാദ AI** (Conversational AI)യും **ചാറ്റ് ബോട്ടുകൾ** (Chat Bots) ഉം. പ്രത്യേക [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) പഠനപാതയും പ്രധാനപ്പെട്ട [ഈ ബ്ലോഗ് പോസ്റ്റ്](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ഉം ഉപയോഗിക്കാം. +* ഡീപ്പ് ലേണിംഗിന് പിന്നിലുള്ള **ഗണിതവിദ്യ**. ഇതിന്, ഇന്ഗുഡ്‌ഫെല്ലോ, യോഷുവ ബെൻഗിയോ, ആറോൺ കോർവിൽ എഴുതിയ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ശുപാർശ ചെയ്യും, ഓൺലൈനിലും ലഭ്യമാണ് [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -ക്ലൗഡിൽ AI സംബന്ധിച്ച വിഷങ്ങളിലേക്കുള്ള ഒരു സൌമ്യമായ പരിചয়েরായ് നിങ്ങൾക്ക് [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) ലേണിംഗ് പാത സ്വീകരിക്കാൻ പരിഗണിക്കാം. +_ക്ലൗഡിലെ AI_-നായി സുഖപ്രദമായ പരിചയം വേണ്ടവർക്ക് [Azure-ൽ കൃത്രിമ ബുദ്ധിമുട്ട് ആരംഭിക്കുക](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) പഠന പാത പരിഗണിക്കാം. # ഉള്ളടക്കം -| | പാഠ ലിങ്ക് | PyTorch/Keras/TensorFlow | Lab | +| | പാഠം ലിങ്ക് | PyTorch/Keras/TensorFlow | ലാബ് | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [കോഴ്‌സ് സജ്ജീകരണം](./lessons/0-course-setup/setup.md) | [നിങ്ങളുടെ ഡെവലപ്മെന്റ് പരിസ്ഥിതി സജ്ജമാക്കുക](./lessons/0-course-setup/how-to-run.md) | | -| I | [**AI-യിലേക്ക് പരിചയം**](./lessons/1-Intro/README.md) | | | -| 01 | [AI-യുടെ പരിചയവും ചരിത്രവും](./lessons/1-Intro/README.md) | - | - | +| 0 | [പാഠം സജ്ജീകരണം](./lessons/0-course-setup/setup.md) | [വികസന പരിസ്ഥിതി സജ്ജമാക്കുക](./lessons/0-course-setup/how-to-run.md) | | +| I | [**AI-യുടെ പരിചയം**](./lessons/1-Intro/README.md) | | | +| 01 | [AI-യുടെ പരിചയം և ചരിത്രം](./lessons/1-Intro/README.md) | - | - | | II | **പ്രതീകാത്മക AI** | -| 02 | [ജ്ഞാന പ്രതിനിധീകരണം மற்றும் വിദഗ്ദ്ധ സിസ്റ്റങ്ങൾ](./lessons/2-Symbolic/README.md) | [വിദഗ്ദ്ധ സിസ്റ്റങ്ങൾ](./lessons/2-Symbolic/Animals.ipynb) / [ഓന്റോളജി](./lessons/2-Symbolic/FamilyOntology.ipynb) /[സങ്കൽപ്പ ഗ്രാഫ്](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**ന്യൂറൽ നെറ്റ്വർക്കുകളിലേക്ക് പരിചയം**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [പെർസെപ്ട്രോൺ](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [നോട്ട്‌ബുക്ക്](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [ബഹു-ലെയർഡ് പെർസെപ്ട്രോൺ և നമ്മുടെ സ്വന്തം ഫ്രെയിംവർക്കിന്റെ സൃഷ്ടി](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [നോട്ട്‌ബുക്ക്](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ലാബ്](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [ഫ്രെയിംവർക്കുകൾക്ക് പരിചയം (PyTorch/TensorFlow) കൂടാതെ ഓവർഫിറ്റിംഗ്](./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) | [ലാബ്](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**കമ്പ്യൂട്ടർ ദൃശ്യം**](./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-ൽ കമ്പ്യൂട്ടർ ദൃശ്യം അന്വേഷണത്തിലേക്ക്](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [കമ്പ്യൂട്ടർ ദൃശ്യം: പരിചയം. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [നോട്ട്‌ബുക്ക്](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ലാബ്](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [കൺവല്യൂഷണൽ ന്യൂറൽ നെറ്റ്‌വർക്കുകൾ](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ആർക്കിടെക്ചറുകൾ](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [മുൻപരിശീലിത നെറ്റ്‌വർക്ക്‌കളും ട്രാൻസ്ഫർ‌ലേണിങ്](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [ട്രെയിനിംഗ് തന്ത്രങ്ങൾ](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ലാബ്](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [ഓട്ടോഎൻകോഡറുകൾ மற்றும் VAEകൾ](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [ജനറേറ്റീവ് അഡ്വേഴ്സറിയൽ നെറ്റ്‌വർക്ക്‌లు & ആർട്ടിസ്റ്റിക് സ്റ്റൈൽ ട്രാൻസ്ഫർ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [വസ്തു കണ്ടെത്തൽ](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ലാബ്](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [സെമാന്റിക് സെഗ്മെന്റേഷൻ. 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 | [**പ്രാകൃത ഭാഷാ പ്രോസസ്സിംഗ്**](./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-ൽ പ്രാകൃത ഭാഷാ പ്രോസസ്സിംഗ് അന്വേഷിക്കുക](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [പാഠ പ്രതിനിധീകരണം. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [സെമാന്റിക് വാക്ക് എംബഡിങ്ങുകൾ. Word2Vec and 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 | [ഭാഷാ മോഡലിംഗ്. നിങ്ങളുടെ സ്വന്തം എംബഡിങ്ങുകൾ പരിശീലിപ്പിക്കൽ](./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) | [ലാബ്](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [റിക്കറന്റ് ന്യൂറൽ നെറ്റ്‌വർക്കുകൾ](./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 | [ജനറേറ്റീവ് റിക്കറന്റ് നെറ്റ്‌വർക്കുകൾ](./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) | [ലാബ്](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [നാമീകരിച്ചതായ ഘടകങ്ങളുടെ തിരിച്ചറിവ്](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ലാബ്](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [വലുതായ ഭാഷാ മോഡലുകൾ, പ്രോംപ്റ്റ് പ്രോഗ്രാമിംഗ്, மற்றும் Few-Shot ടാസ്കുകൾ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **മറ്റുള്ള AI സാങ്കേതിക വിദ്യകൾ** || | -| 21 | [ജനിതക ആൽഗോറിതങ്ങൾ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [നോട്ട്‌ബുക്ക്](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [ഡീപ്പ് റീൻഫോഴ്‌സ്‌മെന്റ് ലേണിംഗ്](./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) | [ലാബ്](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [മൾട്ടി-ഏജന്റ് സിസ്റ്റങ്ങൾ](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI നൈതികത** | | | -| 24 | [AI നൈതികതയും ഉത്തരവാദിത്വമുള്ള AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: ഉത്തരവാദിയായ AI സിദ്ധാന്തങ്ങൾ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **കൂടുതൽ വിഷയങ്ങൾ** | | | -| 25 | [മൾട്ടി-മൊഡൽ നെറ്റ്‌വർക്കുകൾ, CLIP and VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [നോട്ട്‌ബുക്ക്](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 02 | [ജ്ഞാന പ്രതിനിധാനവും വിദഗ്ധ സിസ്റ്റങ്ങളുമായി](./lessons/2-Symbolic/README.md) | [വിദഗ്ധ സിസ്റ്റങ്ങൾ](./lessons/2-Symbolic/Animals.ipynb) / [ഓന്റോളജി](./lessons/2-Symbolic/FamilyOntology.ipynb) /[കോൺസെപ്റ്റ് ഗ്രാഫ്](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**ന്യൂറൽ നെറ്റ്‌വർക്കുകൾക് പരിചയം**](./lessons/3-NeuralNetworks/README.md) ||| +Translation for chunk 2 of 'README.md' skipped due to timeout. +- 💬 **വാചക വികാരം** - പോസിറ്റീവ്/നെഗറ്റീവ് വാചകങ്ങൾ വിശകലനം ചെയ്യുക -## ഓരോ പാഠത്തിലും ഉൾപ്പെടുന്നവ +ഈ ഉദാഹരണങ്ങൾ നിങ്ങൾക്ക് മുഴുവൻ കോഴ്സിലേക്കു പ്രവേശിക്കുന്നതിന് മുമ്പ് AI ആശയങ്ങൾ മനസിലാക്കാൻ സഹായിക്കാൻ രൂപകൽപന ചെയ്തതാണ്. -* മുന്‍ വായനക്കുള്ള സാമഗ്രികൾ -* നടപ്പാക്കാവുന്ന Jupyter നോട്ട്‌ബുക്കുകൾ, സാധാരണയായി ഫ്രെയിംവർക്കിന് പ്രത്യേകമായിരിക്കും (**PyTorch** or **TensorFlow**). നടപ്പാക്കിയ നോട്ട്‌ബുക്ക് സിദ്ധാന്തപരമായ വലിയൊരു വിഭവവും അടങ്ങിയിട്ടുണ്ട്, അതിനാൽ വിഷയം മനസിലാക്കാൻ കുറഞ്ഞതായിരുന്നാലും നോട്ട്ബുക്കിന്റെ ഒരു പതിപ്പ് (PyTorch അല്ലെങ്കിൽ TensorFlow) വായിച്ചുകാലം കൊണ്ട് പോകേണ്ടതുണ്ട്. -* ചില വിഷയങ്ങൾക്ക് ലഭ്യമായ **ലാബുകൾ**, ഇത് നിങ്ങൾ പഠിച്ച മെറ്റീരിയൽ ഒരു പ്രത്യേക പ്രശ്നത്തിലേക്ക് പ്രയോഗിക്കാൻ അവസരം നൽകും. -* ചില സെക്ഷനുകളിൽ ബന്ധപ്പെട്ട വിഷയങ്ങൾ ഉൾക്കൊള്ളുന്ന [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) മോഡ്യൂളുകളിലേക്ക് ലിങ്കുകൾ ഉണ്ട്. +### 📚 മുഴുവൻ കോഴ്സ് സജ്ജീകരണമുള്ളത് -## തുടങ്ങാം +- ഞങ്ങൾ ഒരു [സജ്ജികരണ പാഠം](./lessons/0-course-setup/setup.md) തയ്യാറാക്കിയിട്ടുണ്ട്, നിങ്ങളുടെ ഡെവലപ്പ്മെന്റ് പരിസരമാക്കി സജ്ജമാക്കാനുള്ള സഹായത്തിന്. - വിദ്യാഭ്യാസാർത്ഥികൾക്കായി ഞങ്ങൾ ഒരു [പാഠ്യক্রমം സജ്ജീകരണ പാഠം](./lessons/0-course-setup/for-teachers.md) കൂടി തയ്യാറാക്കി! +- എങ്ങനെ [VSCode അല്ലെങ്കിൽ Codepace ൽ കോഡ് റൺ ചെയ്യാമെന്ന്](./lessons/0-course-setup/how-to-run.md) -### 🎯 എഐയിൽ പുതിയവനോ? ഇവിടെ തുടങ്ങൂ! +ഈ ഘട്ടങ്ങൾ പിന്തുടരുക: -നിങ്ങൾ എഐയിൽ പൂർണമായും പുതിയവനാണെങ്കിൽ, ശീഘ്രവും കൈകൊണ്ടു പരീക്ഷിക്കാവുന്ന ഉദാഹരണങ്ങൾ വേണമെങ്കിൽ, ഞങ്ങളുടെ [**ആരംഭകർക്ക് സൗഹൃദമുള്ള ഉദാഹരണങ്ങൾ**](./examples/README.md) പരിശോധിക്കുക! ഇതിൽ ഉൾപ്പെടുന്നു: +റിപ്പോസിറ്ററി Fork ചെയ്യുക: ഈ പേജിന്റെ വലത് മുകളിൽ "Fork" ബട്ടൺ അമർത്ത്. -- 🌟 **ഹെലോ AI വേൾഡ്** - നിങ്ങളുടെ ആദ്യ AI പ്രോഗ്രാം (മാദൃക തിരിച്ചറിവ്) -- 🧠 **ലളിതമായ ന്യൂറൽ നെറ്റ്‌വർക്കു** - തുടക്കത്തിൽ നിന്നുതന്നെ ഒരു ന്യൂറൽ നെറ്റ്‌വർക്ക് നിർമ്മിക്കുക -- 🖼️ **ചിത്ര വർഗ്ഗീകരകൻ** - വിശദമായ കമന്റുകളോടെ ചിത്രങ്ങൾ വർഗ്ഗീകരിക്കുക -- 💬 **ടെക്സ്റ്റ് സെന്റിമെന്റ്** - പോസിറ്റീവ്/നെഗറ്റീവ് ടെക്സ്റ്റ് വിശകലനം +റിപ്പോസിറ്ററി ക്ലോൺ ചെയ്യുക: `git clone https://github.com/microsoft/AI-For-Beginners.git` -These examples are designed to help you understand AI concepts before diving into the full curriculum. +പിന്നീട് ഈ റീപ്പോയെ (🌟) സ്റ്റാർ ചെയ്യുന്നത് മറക്കരുത്, പിന്നീട് എളുപ്പത്തിൽ കണ്ടെത്താനായി. -### 📚 പൂർണ പാഠ്യപദ്ധതി സജ്ജീകരണം +## മറ്റ് പഠനാർത്ഥികളെ 만나ുക -- നാം [സജ്ജീകരണ പാഠം](./lessons/0-course-setup/setup.md) രചിച്ചിരിക്കുന്നു നിങ്ങളുടെ ഡെവലപ്‌മെന്റ് പരി‌സരം സജ്ജീകരിക്കുന്നതിന് സഹായിക്കാൻ. - അധ്യാപകർക്കായി, നാം നിങ്ങളെക്കും ഒരു [പാഠ്യപദ്ധതി സജ്ജീകരണ പാഠം](./lessons/0-course-setup/for-teachers.md) തയ്യാറാക്കി! -- എങ്ങനെ [VSCode-ലോ Codepace-ലോ കോഡ് റൺ ചെയ്യാം](./lessons/0-course-setup/how-to-run.md) +നോക്കുക ഞങ്ങളുടെ [പ്രമാണപ്പെട്ട AI Discord സെർവർ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), ഈ കോഴ്സ് പഠനത്തിലുളള മറ്റ് വിദ്യാർത്ഥികളുമായി ബന്ധപ്പെടാനും പിന്തുണ ലഭിക്കാനും. -Follow these steps: +നിങ്ങൾക്ക് ഉൽപ്പന്നപരമായ അഭിപ്രായമോ ചോദ്യംകളോ ഉണ്ടെങ്കിൽ, നിർമ്മാണത്തിനിടെ ഞങ്ങളുടെ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) സന്ദർശിക്കുക. -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +## ചോദ്യോത്തരങ്ങൾ -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +> **ചോദ്യോത്തരങ്ങളെ കുറിച്ച് ഒരു കുറിപ്പ്**: എല്ലാ ക്വിസുകളും etc\quiz-app എന്ന Quiz-app ഫോൾഡറില് ആണ്, അല്ലെങ്കിൽ [ഓൺലൈൻ ഇവിടെ](https://ff-quizzes.netlify.app/) ലിങ്ക് ചെയ്തിട്ടുണ്ട്. അവ പാഠങ്ങളെളവിൽ നിന്നുള്ളവയാണ്, ക്വിസ്സ് അപ്ലിക്കേഷൻ ലൊക്കൽ റൺ ചെയ്യാനോ Azure ൽ വിന്യസിക്കാനോ കഴിയും; `quiz-app` ഫോൾഡറിൽ നൽകിയ നിർദ്ദേശങ്ങൾ പിന്തുടരുക. അവ ക്രമീകരിച്ച് പ്രാദേശികത വരുത്തുകയാണ്. -Don't forget to star (🌟) this repo to find it easier later. +## സഹായം വേണം -## Meet other Learners +നിങ്ങളെന്തെങ്കിലും നിർദേശം ഉണ്ടോ, തെറ്റായ വർത്തമാനം പോലുമോ അല്ലെങ്കിൽ കോഡ് പിശകുകളോ കണ്ടെത്തിയോ? ഒരു പ്രശ്നം ഉയർത്തുക അല്ലെങ്കിൽ ഒരു പുൾ റിക്വസ്റ്റ് സൃഷ്ടിക്കുക. -Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +## പ്രത്യേക നന്ദി -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +* **✍️ പ്രതിഫലം രചയിതാവ്:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **🔥 എഡിറ്റർ:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 സ്കെച്ച്നോട്ട് ചിത്രകാരി:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ ക്വിസ് സൃഷ്ടിച്ചത്:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 പ്രധാന കൺട്രിബ്യൂട്ടേഴ്‌സ്:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Quizzes +## മറ്റ് പാഠ്യക്രമങ്ങൾ -> **ക്വിസുകൾക്കുറിച്ചുള്ള ഒരു കുറിപ്പ്**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [ഓൺലൈനായി ഇവിടെ](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. - -## Help Wanted - -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. - -## Special Thanks - -* **✍️ പ്രധാന രചയിതാവ്:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 എഡിറ്റർ:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 സ്കെച്ച്നോട്ട് ഇലസ്ട്രേറ്റർ:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ ക്വിസ് സൃഷ്ടാവ്:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 പ്രധാന സംഭാവകർ:** [Evgenii Pishchik](https://github.com/Pe4enIks) - -## Other Curricula - -Our team produces other curricula! Check out: +ഞങ്ങളുടെ സംഘമില്ല башка പാഠ്യക്രമങ്ങൾ നിർമിക്കുന്നു! നോക്കുക: ### LangChain -[![LangChain4j ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents -[![AZD ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](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 ഏജന്റുകൾ ആരംഭക്കാർക്കുള്ള](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Generative AI Series -[![ജനറേറ്റീവ് AI ആരംഭക്കാർക്കുള്ള](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 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) @@ -188,13 +154,13 @@ Our team produces other curricula! Check out: --- ### Core Learning -[![ML ആരംഭക്കാർക്കുള്ള](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) -[![ഡേറ്റാ സയൻസ് ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](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) -[![സൈബർസെക്യൂരിറ്റി ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](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 ആരംഭക്കാർക്കുള്ള](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- @@ -204,19 +170,19 @@ Our team produces other curricula! Check out: [![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) -## Getting Help +## സഹായം നേടുക -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +നിങ്ങൾ കുടുങ്ങിയോ AI ആപ്ലിക്കേഷനുകൾ നിർമ്മിക്കാൻ സംശയങ്ങളുണ്ടോ? MCP സംബന്ധിച്ച ചർച്ചകളിൽ അനുഭവസമ്പന്നരായ ഡെവലപ്പർമാരും മറ്റ് പഠനാർത്ഥികളും ചേരുക. ഇത് ഒരു പിന്തുണയുള്ള സമൂഹമാണ്, ഇവിടെ ചോദ്യങ്ങൾ സ്വാഗതം ചെയ്യപ്പെടുകയും അറിവ് സ്വതന്ത്രമായി പങ്കിടപ്പെടുകയും ചെയ്യും. -[![Microsoft Foundry ഡിസ്‌കോർഡ്](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) -If you have product feedback or errors while building visit: +നിങ്ങൾക്ക് ഉൽപ്പന്നാരോപണങ്ങൾ അല്ലെങ്കിൽ പിശകുകൾ ഉണ്ടെങ്കിൽ നിർമ്മാണ സമയത്ത് സന്ദർശിക്കുക: -[![Microsoft Foundry ഡവലപ്പർ ഫോറം](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) +[![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) --- -അസൂചനം: -ഈ രേഖ AI പരിഭാഷാ സേവനമായ Co-op Translator (https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് പരിഭാഷപ്പെടുത്തിയതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്ക് ശ്രമിച്ചേക്കলেও, ഓട്ടോമാറ്റഡ് പരിഭാഷകളിൽ പിശകുകൾ അല്ലെങ്കിൽ അപൂർണ്ണതകൾ ഉണ്ടാകാമെന്ന് ദയവായി ശ്രദ്ധിക്കുക. യഥാർത്ഥ രേഖ അതിന്റെ മാതൃഭാഷയിൽ പ്രാമാണിക ഉറവിടമായെന്ന് പരിഗണിക്കേണ്ടതാണ്. നിർണായകമായ വിവരങ്ങൾക്ക് പ്രൊഫഷണൽ മനുഷ്യ പരിഭാഷ ശിപാർശ ചെയ്യപ്പെടുന്നു. ഈ പരിഭാഷ ഉപയോഗിച്ചതിൽ നിന്നുണ്ടാകുന്ന ഏതെങ്കിലും തെറ്റിദ്ധാരണങ്ങൾക്കോ തെറ്റായ വ്യാഖ്യാനങ്ങൾക്കോ ഞങ്ങൾ ഉത്തരവാദികളല്ല. +**അസ്‌തീകരണം**: +ഈ പ്രമാണം AI വിവർത്തന സേവനം [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് വിവർത്തനം ചെയ്തതാണ്. നാം കൃത്യതക്കായി പരിശ്രമിച്ചാലും, സ്വയം പ്രവർത്തിക്കുന്ന വിവർത്തനങ്ങളിൽ തെറ്റുകൾ അല്ലെങ്കിൽ അകുറ്റങ്ങൾ ഉണ്ടാകാമെന്ന് ദയവായി അറിവിൽ വെക്കുക. സ്വദേശഭാഷയിലുള്ള അദ്ധ്യാപകപ്രമാണം ആണ് പ്രാമാണിക ഉറവിടം. അത്യാവശ്യ വിവരങ്ങൾക്ക്, സ്വകീയ മനുഷ്യ വിവർത്തനം ശുപാർശ ചെയ്യുന്നു. ഈ വിവർത്തനം ഉപയോഗിച്ചുകൊണ്ടുള്ള ഏതെങ്കിലും തെറ്റിദ്ധാരണകൾക്കും തെറ്റിദ്ധാരണകൾക്കുമായി ഞങ്ങൾ ഉത്തരവാദിത്തം ഏറ്റുകൊള്ളുന്നില്ല. \ No newline at end of file diff --git a/translations/pcm/README.md b/translations/pcm/README.md index 9ce29407..c7246d76 100644 --- a/translations/pcm/README.md +++ b/translations/pcm/README.md @@ -1,17 +1,17 @@ -[![GitHub laisens](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) [![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs Dey Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) [![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) @@ -21,51 +21,61 @@ CO_OP_TRANSLATOR_METADATA: [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Artificial Intelligence for Beginners - Na Curriculum +# Artificial Intelligence for Beginners - A Curriculum |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.pcm.png)| |:---:| -| AI For Beginners - _Sketchnote na [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | -Make you explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum easy for beginners and e dey cover tools like TensorFlow and PyTorch, plus ethics for AI +Explore di world of **Artificial Intelligence** (AI) wit our 12-week, 24-lesson curriculum! E get practical lessons, quizzes, and labs. Di curriculum easy for beginner and e cover tools like TensorFlow and PyTorch, plus ethics for AI -### 🌐 Plenty Languages Wey We Dey Support +### 🌐 Multi-Language Support -#### Dem dey support am via GitHub Action (Automated & Always Up-to-Date) +#### Supported via GitHub Action (Automated & Always Up-to-Date) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Prefer to Clone Locally?** + +> Dis repository get over 50 language translations wey full di download size. To clone without translations, use sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Dis go give you everything wey you need complete di course but download go fast. -**If you want make we add more translation languages, di ones wey dem support dey listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**If you want additional translation language dem wey dey supported dey listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Join di Community +## Join the Community [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Wetin you go learn -**[Mindmap of di Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -For this curriculum, you go learn: +For dis curriculum, you go learn: -* Different approaches to Artificial Intelligence, including di "good old" symbolic approach wit **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neural Networks** and **Deep Learning**, wey dey di core of modern AI. We go show di concepts behind these important topics using code for two of di most popular frameworks - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org). -* **Neural Architectures** for working wit images and text. We go cover recent models but e fit no reach di very latest state-of-the-art. -* Less popular AI approaches, like **Genetic Algorithms** and **Multi-Agent Systems**. +* Different ways to take do Artificial Intelligence, including di "good old" symbolic style wit **Knowledge Representation** and reasoning ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neural Networks** and **Deep Learning**, wey be di core of modern AI. We go show di concepts behind dem important topics using code for two top framework - [TensorFlow](http://Tensorflow.org) and [PyTorch](http://pytorch.org). +* **Neural Architectures** wey dey work with images and text. We go cover recent models but small kind lack latest state-of-the-art. +* Less common AI methods, like **Genetic Algorithms** and **Multi-Agent Systems**. Wetin we no go cover for dis curriculum: -> [Find all extra resources for dis course for our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Find all additional resources for this course in our Microsoft Learn collection](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Business cases wey dey use **AI in Business**. If you want, consider to take the [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path on Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem develop together wit [INSEAD](https://www.insead.edu/). +* Business cases of using **AI in Business**. Abeg consider take [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) learning path for Microsoft Learn, or [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), wey dem develop for cooperation wit [INSEAD](https://www.insead.edu/). * **Classic Machine Learning**, wey well explain for our [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Practical AI applications wey dem build using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dis one, we recommend say you start wit Microsoft Learn modules for [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)** and oda ones. -* Specific ML **Cloud Frameworks**, like [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). You fit consider the learning paths [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) and [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). -* **Conversational AI** and **Chat Bots**. Dem get separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [this blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail. -* **Deep Mathematics** wey dey behind deep learning. For dis, we recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey still dey online at [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Practical AI applications wey dem build using **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. For dis one, we recommend make you start with Microsoft Learn modules for [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)** and others. +* Specific ML **Cloud Frameworks**, like [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), or [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Abeg try [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) and [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) learning paths. +* **Conversational AI** and **Chat Bots**. E get separate [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) learning path, and you fit also check [dis blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) for more detail. +* **Deep Mathematics** behind deep learning. For dis one, we go recommend [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) by Ian Goodfellow, Yoshua Bengio and Aaron Courville, wey e also dey online for [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -If you want small introduction to _AI in the Cloud_ topics, you fit consider to take the [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) Learning Path. +For soft introduction to _AI for Cloud_ topics you fit consider take the [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) Learning Path. # Content @@ -78,12 +88,12 @@ If you want small introduction to _AI in the Cloud_ topics, you fit consider to | 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Multi-Layered Perceptron an Creating our own Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Intro to Frameworks (PyTorch/TensorFlow) an Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 04 | [Multi-Layered Perceptron and Creating our own Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Intro to Frameworks (PyTorch/TensorFlow) and Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explore Computer Vision on Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Intro to Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architectures](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Pre-trained Networks an Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 08 | [Pre-trained Networks and Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders and VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generative Adversarial Networks & Artistic Style Transfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Object Detection](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | @@ -109,49 +119,49 @@ If you want small introduction to _AI in the Cloud_ topics, you fit consider to ## Each lesson contains * Pre-reading material -* Executable Jupyter Notebooks, which are often specific to the framework (**PyTorch** or **TensorFlow**). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow). -* **Labs** available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem. -* Some sections contain links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules that cover related topics. +* Executable Jupyter Notebooks, wey dey often special for di framework (**PyTorch** or **TensorFlow**). Di executable notebook get plenti theoretical material too, so to understand di topic, you go need run at least one version of di notebook (either PyTorch or TensorFlow). +* **Labs** wey dey available for some topics, wey go give you chance to try apply di material wey you don learn for particular problem. +* Some sections dey get links to [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modules wey dey cover related topics. ## Getting Started ### 🎯 New to AI? Start Here! -If you're completely new to AI and want quick, hands-on examples, check out our [**Beginner-Friendly Examples**](./examples/README.md)! These include: +If you never sabi AI at all and you want quick, hands-on examples, check out our [**Beginner-Friendly Examples**](./examples/README.md)! Dem get: - 🌟 **Hello AI World** - Your first AI program (pattern recognition) -- 🧠 **Simple Neural Network** - Build a neural network from scratch +- 🧠 **Simple Neural Network** - Build neural network from scratch - 🖼️ **Image Classifier** - Classify images with detailed comments -- 💬 **Text Sentiment** - Analyse whether text na positive or negative +- 💬 **Text Sentiment** - Analyze positive/negative text -These examples dem design make e help you sabi AI concepts before you enter full curriculum. +Dem design dis examples to help you sabi AI concepts before you dive inside the full curriculum. ### 📚 Full Curriculum Setup -- We don create a [setup lesson](./lessons/0-course-setup/setup.md) wey go help you with setting up your development environment. - For educators, we sef don create a [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too! -- How to [Run the code in a VSCode or a Codepace](./lessons/0-course-setup/how-to-run.md) +- We don create one [setup lesson](./lessons/0-course-setup/setup.md) to help you set up your development environment. - For Educators, we don create one [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) for you too! +- How to [Run di code for VSCode or Codepace](./lessons/0-course-setup/how-to-run.md) Follow these steps: -Fork the Repository: Click on the "Fork" button for the top-right corner of this page. +Fork the Repository: Click on di "Fork" button wey dey top-right corner of dis page. Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo make e dey easier to find later. +No forget to star (🌟) dis repo make e easy for you to find am later. ## Meet other Learners -Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) make you meet and network with other learners wey dey do this course and get support. +Join our [official AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners wey dey do dis course and get support. -If you get product feedback or questions whilst you dey build visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +If you get product feedback or questions while you dey build visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ## Quizzes -> **A note about quizzes**: All quizzes dey contained for the Quiz-app folder for etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) They dey linked from inside the lessons. The quiz app fit run locally or fit deploy to Azure; follow the instruction for the `quiz-app` folder. Dem dey gradually localize dem. +> **A note about quizzes**: All quizzes dey inside di Quiz-app folder for etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) Dem link dem from inside the lessons. Di quiz app fit run locally or you fit deploy am go Azure; follow di instruction for di `quiz-app` folder. Dem dey slowly dey localize am. ## Help Wanted -You get suggestions or you see spelling or code errors? Raise an issue or create a pull request. +You get suggestions or you see any spelling or code mistakes? Make you raise issue or create pull request. ## Special Thanks @@ -207,17 +217,17 @@ Our team dey produce other curricula! Check am out: ## Getting Help -If you get stuck or you get any questions about building AI apps, join fellow learners and experienced developers for discussions about MCP. Na supportive community where questions welcome and knowledge dey shared freely. +If you jam problem or you get any question about building AI apps. Join fellow learners and experienced developers for discussions about MCP. Na supportive community wey questions dey welcome and knowledge dey share free. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you get product feedback or errors while you dey build visit: +If you get product feedback or errors while you dey build, visit: [![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) --- -Disclaimer: -Dis dokument don translate wit AI translation service Co-op Translator (https://github.com/Azure/co-op-translator). Even though we dey try make am correct, abeg sabi say automated translation fit get mistakes or dey inaccurate. The original dokument for im native language suppose be di official source. If na important information, make una use professional human translator. We no dey liable for any misunderstanding or wrong interpretation wey fit come from dis translation. +**Disclaimer**: +Dis document don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we dey try make am accurate, abeg sabi say automated translation fit get some mistakes or no too correct. Di original document for im own language be di correct main source. For important info, e better make person wey sabi human translation do am. We no go take any blame if person misunderstand or misuse dis translation. \ No newline at end of file diff --git a/translations/te/README.md b/translations/te/README.md index 863ac8d3..69534e9f 100644 --- a/translations/te/README.md +++ b/translations/te/README.md @@ -1,168 +1,179 @@ -[![GitHub లైసెన్స్](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub భాగస్వాములు](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs స్వాగతం](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub వాచ్ చేయండి](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub ఫార్క్స్](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub నట్స్](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Artificial Intelligence for Beginners - A Curriculum +# ప్రారంభులకు ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ - ఒక పాఠ్యాంశం |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.te.png)| |:---:| -| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ | +| ప్రారంభులకు AI - _[ @girlie_mac](https://twitter.com/girlie_mac) వారి స్కెచ్ నోటు_ | -మన 12-వారాల, 24- పాఠాల పాఠ్యక్రమంతో **కృత్రిమ బుద్ధి** (AI) ప్రపంచాన్ని అన్వేషించండి! ఇది ప్రాక్టికల్ పాఠాలు, క్విజెస్, మరియు ల్యాబ్‌లను కలిగి ఉంది. ఈ పాఠ్యక్రమం మొదటి సారిగా నేర్చుకునే వారికి అనుకూలంగా ఉంది మరియు TensorFlow మరియు PyTorch వంటి టూల్స్, అలాగే AI నైతికతలను కూడా కవర్ చేస్తుంది +మా 12 వారాల, 24 పాఠాల పాఠ్యాంశంతో **కృతీమ మేధస్సు** (AI) ప్రపంచాన్ని అన్వేషించండి! ఇది ఆచరణాత్మక పాఠాలు, ప్రశ్నావళులు మరియు ప్రయోగశాలలను కలిగి ఉంటుంది. ఈ పాఠ్యాంశం ఆరంభకులకు అనుకూలంగా ఉంది మరియు టెన్సర్ఫ్లో మరియు ప్యాటార్చ్ లాంటి సాధనాలతో పాటు AIలో ఆచారశాస్ర్తాన్ని కూడా కవర్ చేస్తుంది -### 🌐 బహుభాషల మద్దతు -#### GitHub Action ద్వారా మద్దతు (స్వయంచాలకంగా & ఎప్పుడూ తాజాపడిన) +### 🌐 బహుభాషా మద్దతు + +#### గిట్హబ్ యాక్షన్ ద్వారా మద్దతు (ఆటోమేటెడ్ మరియు ఎల్లప్పుడూ తాజా) -[అరబిక్](../ar/README.md) | [బెంగాలీ](../bn/README.md) | [బల్గేరియన్](../bg/README.md) | [బర్మీస్ (మియాన్మಾರ್)](../my/README.md) | [చైనీస్ (సరళీకృతం)](../zh/README.md) | [చైనీస్ (పారంపరిక, హాంగ్‌కాంగ్)](../hk/README.md) | [చైనీస్ (పారంపరిక, మకావు)](../mo/README.md) | [చైనీస్ (పారంపరిక, తైవాన్)](../tw/README.md) | [క్రొయేషియన్](../hr/README.md) | [చెక్](../cs/README.md) | [డానిష్](../da/README.md) | [డచ్](../nl/README.md) | [ఎస్టోనియన్](../et/README.md) | [ఫిన్నిష్](../fi/README.md) | [ఫ్రెంచ్](../fr/README.md) | [జర్మన్](../de/README.md) | [గ్రీకు](../el/README.md) | [హిబ్రూ](../he/README.md) | [హింది](../hi/README.md) | [హంగేరియన్](../hu/README.md) | [ఇండోనేషియన్](../id/README.md) | [ఇటాలియన్](../it/README.md) | [జపనీస్](../ja/README.md) | [కన్నడ](../kn/README.md) | [కొరియన్](../ko/README.md) | [లితువేనియన్](../lt/README.md) | [మలయ్](../ms/README.md) | [మలయాళం](../ml/README.md) | [మరాఠీ](../mr/README.md) | [నేపాలి](../ne/README.md) | [నైజీరియన్ పిడ్జిన్](../pcm/README.md) | [నార్వేజియన్](../no/README.md) | [పర్షియన్ (ఫార్సీ)](../fa/README.md) | [పోలిష్](../pl/README.md) | [పోర్టుగీస్ (బ్రెజిల్)](../br/README.md) | [పోర్టుగీస్ (పోర్చుగల్)](../pt/README.md) | [పంజాబీ (గురుముఖి)](../pa/README.md) | [రోమేనియన్](../ro/README.md) | [రష్యన్](../ru/README.md) | [సెర్బియన్ (సిరిల్లిక్)](../sr/README.md) | [స్లోవాక్](../sk/README.md) | [స్లోవేనియన్](../sl/README.md) | [స్పానిష్](../es/README.md) | [స్వాహిలి](../sw/README.md) | [స్వీడిష్](../sv/README.md) | [తగలాగ్ (ఫిలిపినో)](../tl/README.md) | [తమిళు](../ta/README.md) | [తెలుగు](./README.md) | [థై](../th/README.md) | [టర్కిష్](../tr/README.md) | [ఉక్రაინియన్](../uk/README.md) | [ఉర్దూ](../ur/README.md) | [వియత్నామీస్](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](./README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **స్థానికంగా క్లోన్ చేయదలచుకున్నారా?** + +> ఈ రిపోజిటరీ 50+ భాషా అనువాదాలను కలిగి ఉంది, ఇది డౌన్‌లోడ్ పరిమాణాన్ని గణనీయంగా పెంచుతుంది. అనువాదాలు లేకుండా క్లోన్ చేయడానికి, స్పార్స్ చెకౌట్ను ఉపయోగించండి: +> ```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' +> ``` +> ఇది కోర్సు పూర్తి చేయడానికి అవసరమైన అన్ని వాటినీ Much వేగవంతమైన డౌన్‌లోడ్‌తో మీకు ఇస్తుంది. -**మీరు అదనపు అనువాద భాషలను కోరుకుంటే మద్దతు పొందిన భాషల జాబితా [ఇక్కడ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ఉంది** +**మీకు అదనపు అనువాద భాషలు కావాలంటే అవి ఇక్కడ [listed](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ఉన్నాయి** -## సముదాయంలో చేరండి +## కమ్యూనిటీకి చేరండి [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## మీరు ఏమి నేర్చుకుంటారు +## మీరు నేర్చుకునే విషయాలు -**[కోర్సు మైండ్మ్యాప్](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[కోర్సు మైండ్ మ్యాప్](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -ఈ పాఠ్యక్రమంలో, మీరు నేర్చుకునే విషయాలు: +ఈ పాఠ్యాంశంలో, మీరు నేర్చుకుంటారు: -* కృత్రిమ బుద్ధి కోసం వివిధ దృక్పథాలు, వీరిలో “పాతకాలపు” సంకేతాత్మక దృక్పథం దృష్ట్యా **జ్ఞాన ప్రాతినిధ్యం** మరియు తర్కశక్తి ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **న్యూరల్ నెట్‌వర్క్స్** మరియు **డీప్ లెర్నింగ్**, ఇవి ఆధునిక AI యొక్క మౌలిక భాగాలు. మేము ఈ ప్రధాన విషయాల వెనుక ఉన్న కాన్సెప్ట్ను రెండు ప్రాచీన ఫ్రేమ్‌వర్క్‌లలో కోడ్ ఉపయోగించి వివరిస్తాము - [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org). -* చిత్రాలు మరియు పాఠ్యంతో పని చేయడానికి **న్యూరల్ నిర్మాణాలు**. తాజా మోడల్స్‌ను మేము కవర్ చేస్తాము కానీ అది state-of-the-art పూర్తిగా కవర్ చేయకపోవచ్చు. -* తక్కువగా ప్రాచుర్యం ఉండే AI పద్ధతులు, ఉదాహరణకు **జెనెటికల్ అల్గోరిదమ్స్** మరియు **మల్టీ-ఏజెంట్ సిస్టమ్స్**. +* "గుడ్ ఓల్డ్" సింబాలిక్ పద్ధతితో పాటు వివిధ ఆర్టిఫిషియల్ ఇంటెలిజెన్స్ దృష్టికోణాలు, అందులో **నాలెడ్జ్ రిప్రజెంటేషన్** మరియు నిర్ణయాత్మకత ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* ఆధునిక AI యొక్క మూలమైన **న్యూరల్ నెట్‌వర్క్స్** మరియు **డీప్ లెర్నింగ్**. ఈ ముఖ్యమైన అంశాల వెనుక కాన్సెప్ట్స్‌ను మేము రెండు అత్యంత ప్రాచుర్యం పొందిన ఫ్రేమ్‌వర్క్స్ - [TensorFlow](http://Tensorflow.org) మరియు [PyTorch](http://pytorch.org)లో కోడ్ ఉపయోగించి వివరిస్తాము. +* చిత్రాలు మరియు పాఠ్యంతో పనిచేసే **న్యూరల్ ఆర్కిటెక్చర్‌లు**. మేము తాజా నమూనాలను కవర్ చేస్తాము కానీ స్టేట్-ఆఫ్-ది-ఆర్ట్ కొద్దిగా తగ్గి ఉండొచ్చు. +* తక్కువ ప్రాచుర్యం పొందిన AI దృష్టికోణాలు, ఉదా: **జెనటిక అల్గోరిథమ్స్** మరియు **మల్టీ-ఏజెంట్ సిస్టమ్స్**. -ఈ పాఠ్యక్రమంలో మేము ఏమి కవర్ చేయము: +ఈ పాఠ్యాంశంలో మేము కవర్ చేయని విషయాలు: -> [ఈ కోర్సుకు సంబంధించిన అన్ని అదనపు వనరులను మా Microsoft Learn గరిష్ట సేకరణలో చూడండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [ఈ కోర్సు యొక్క అదనపు వనరులను మా Microsoft Learn సేకరణలో చూడండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* వ్యాపారాల్లో **AI వినియోగం** యొక్క వ్యాపార కేసులు. దీని కోసం Microsoft Learn లోని [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాత్ లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) సహకారంతో అభివృద్ధి చేయబడినది, తీసుకోవాలని పరిశీలించండి. -* **శాస్త్రీయ మెషీన్ లెర్నింగ్ (Classic Machine Learning)**, ఇది మా [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) లో బాగా వివరణ చేయబడింది. -* **ప్రాక్టికల్ AI అప్లికేషన్లు** **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ఉపయోగించి నిర్మించినవి. దీనికోసం, మేము మీరు Microsoft Learn లోని [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)** మరియు ఇతర మాడ్యూల్స్‌తో మొదలు పెట్టాలని సిఫారసు చేస్తాము. -* నిర్దిష్ట ML **క్లౌడ్ ఫ్రేమ్‌వర్క్‌లు**, ఉదాహరణకు [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), లేదా [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) మరియు [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) లెర్నింగ్ పాఠ్యాలను ఉపయోగించటం గురించి ఆలోచించండి. -* **సంవాదాత్మక AI** మరియు **చాట్ బాట్స్**. దీనికి ప్రత్యేకమైన [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాత్ ఉంది, మరియు మీరు మరింత వివరాలకు [ఈ బ్లాగ్ పోస్ట్](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ను కూడా చూడవచ్చు. -* డీప్ లెర్నింగ్ వెనుక ఉన్న **గమనించదగిన గణిత శాస్త్రం (Deep Mathematics)**. దీనికోసం, మేము Ian Goodfellow, Yoshua Bengio మరియు Aaron Courville రచనైన [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) అనే గ్రంథాన్ని సిఫారసు చేస్తాము, ఇది ఆన్‌లైన్‌లో కూడా [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) వద్ద అందుబాటులో ఉంది. +* **వ్యాపారంలో AI ఉపయోగించే వ్యాపార సందర్భాలు**. Microsoft Learnలోని [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) అనే లెర్నింగ్ పాత్ తీసుకోండి లేదా [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), ఇది [INSEAD](https://www.insead.edu/)తో సమన్వయంతో అభివృద్ధి చేయబడింది. +* **క్లాసిక్ మెషీన్ లెర్నింగ్**, ఇది మా [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners)లో బాగా వివరించబడింది. +* **[కగ్నిటివ్ సర్వీసెస్](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ఉపయోగించి నిర్మించిన ప్రాక్టికల్ AI అనువర్తనాలు. దీని కోసం, మేము Microsoft Learnలో [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), **[Azure OpenAI Serviceతో జనరేటివ్ AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** మరియు ఇతర మాడ్యూల్ల నుంచి మొదలుపెట్టాలని సూచిస్తాము. +* నిర్దిష్ట ML **క్లౌడ్ ఫ్రేమ్‌వర్క్స్**, ఉదా: [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), లేదా [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). మీరు [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) మరియు [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) లెర్నింగ్ పాత్‌లను ఉపయోగించవచ్చు. +* **కంటెస్టేషనల్ AI** మరియు **చాట్ బాట్స్**. దీనికి ప్రత్యేక [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాత్ ఉంది, అలాగే మరిన్ని వివరాలకు [ఈ బ్లాగ్ పోస్టును](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) చూడండి. +* డీప్ లెర్నింగ్ వెనుక **గాఢమైన గణితం**. దీని కోసం, మేము [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) అనే ఇయాన్ గూడ్‌ఫెలో, యోషువా బెంగియో మరియు ఆహరాన్ కౌర్విల్ రచించిన పుస్తకాన్ని సిఫార్సు చేస్తున్నాము, ఇది ఆన్‌లైన్లో కూడా అందుబాటులో ఉంది: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) . -క్లోడ్‌లోని _AI_ అంశాలకు ఆనందంగా పరిచయం కావాలనుకుంటే, మీరు [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) లెర్నింగ్ పాత్ తీసుకోవాలని పరిశీలించండి. +క్లౌడ్‌లో AIకి సరళమైన పరిచయం కోసం మీరు [Azureలో కళात्मक మేధస్సుతో ప్రారంభించండి](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) లెర్నింగ్ పాత్ తీసుకోవచ్చు. -# Content +# విషయాలు -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | పాఠం లింక్ | PyTorch/Keras/TensorFlow | ప్రయోగశాల | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [కోర్సు సెటప్](./lessons/0-course-setup/setup.md) | [మీ డెవలప్‌మెంట్ వాతావరణాన్ని సెటప్ చేయడం](./lessons/0-course-setup/how-to-run.md) | | -| I | [**కృత్రిమ బుద్ధి పరిచయం**](./lessons/1-Intro/README.md) | | | -| 01 | [కృత్రిమ బుద్ధి పరిచయం మరియు చరిత్ర](./lessons/1-Intro/README.md) | - | - | -| II | **సంకేతాత్మక AI** | -| 02 | [జ్ఞాన ప్రాతినిధ్యం మరియు నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/README.md) | [నిపుణుల వ్యవస్థలు](./lessons/2-Symbolic/Animals.ipynb) / [ఆంటాలజీ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[కాన్సెప్ట్ గ్రాఫ్](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**న్యూరల్ నెట్‌వర్క్స్ పరిచయం**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [పర్సెప్ట్రాన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [నోట్‌బుక్](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [బహుస్థాయి పర్సెప్ట్రాన్ మరియు మన స్వంత ఫ్రేమ్‌వర్క్ సృష్టించడం](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [నోట్‌బుక్](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ల్యాబ్](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [ఫ్రేమ్‌వర్క్‌లకు పరిచయం (PyTorch/TensorFlow) మరియు ఒవర్‌ఫిటింగ్](./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) | [ల్యాబ్](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**కంప్యూటర్ విజన్**](./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 Azureపై కంప్యూటర్ విజన్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [కంప్యూటర్ విజన్‌కు పరిచయం. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [నోట్‌బుక్](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [కన్వల్యూషనల్ న్యూరల్ నెట్‌వర్క్స్](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN నిర్మాణాలు](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [ప్రీ-ట్రెయిన్డ్ నెట్వర్క్స్ మరియు ట్రాన్స్‌ఫర్ లెర్నింగ్](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [ట్రైనింగ్ చిట్కాలు](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [ఆటోఎంకోడర్స్ మరియు VAEలు](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [జనరేటివ్ అడ్వర్సరియల్ నెట్‌వర్క్స్ మరియు కళాత్మక శైలి బదిలీ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [వస్తు గుర్తింపు](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ల్యాబ్](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [సెమాంటిక్ సెగ్మెంటేషన్. 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 | [**నేచురల్ లాంగ్వేజ్ ప్రాసెసింగ్**](./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 Azureలో నేచురల్ లాంగ్వేజ్ ప్రాసెసింగ్‌ను అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [పాఠ్య ప్రతినిధ్యం. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [అర్థాత్మక పద ఎంబెడ్డింగ్స్. Word2Vec మరియు 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 | [భాషా మోడలింగ్. మీ స్వంత ఎంబెడ్డింగ్స్‌ను శిక్షణ ఇవ్వడం](./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) | [ల్యాబ్](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [రెకరెంట్ న్యూరల్ నెట్‌వర్క్స్](./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 | [జెనరేటివ్ రికరెంట్ నెట్‌వర్క్స్](./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) | [ల్యాబ్](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [ట్రాన్స్ఫార్మర్స్. 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 | [నేమ్డ్ ఎంటిటీ గుర్తింపు](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ల్యాబ్](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [విస్తృత భాషా మోడళ్లు, ప్రాంప్ట్ ప్రోగ్రామింగ్ మరియు ఫ్యూ-షాట్ టాస్క్‌లు](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 0 | [కోర్సు సెటప్](./lessons/0-course-setup/setup.md) | [మీ అభివృద్ధి వాతావరణాన్ని సెటప్ చేయండి](./lessons/0-course-setup/how-to-run.md) | | +| I | [**AIకి పరిచయం**](./lessons/1-Intro/README.md) | | | +| 01 | [AI పరిచయం మరియు చరిత్ర](./lessons/1-Intro/README.md) | - | - | +| II | **సింబాలిక్ AI** | +| 02 | [నాలెడ్జ్ రిప్రజెంటేషన్ మరియు ఎక్స్‌పర్ట్ సిస్టమ్స్](./lessons/2-Symbolic/README.md) | [ఎక్స్‌పర్ట్ సిస్టమ్స్](./lessons/2-Symbolic/Animals.ipynb) / [ఆంటాలజీ](./lessons/2-Symbolic/FamilyOntology.ipynb) /[కాన్సెప్టు గ్రాఫ్](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**న్యూరల్ నెట్‌వర్క్స్‌కు పరిచయం**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [పర్సెప్ట్రాన్](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [బహుస్థాయి పర్సెప్ట్రాన్ మరియు మన సొంత ఫ్రేమ్‌వర్క్ సృష్టించడం](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [నోట్బుక్](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [ఫ్రేమ్‌వర్క్‌లకు పరిచయం (PyTorch/TensorFlow) మరియు అధిగమింపు](./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) | [ప్రయోగశాల](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**కంప్యూటర్ విజన్**](./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)| [మైక్రోసాఫ్ట్ Azureపై కంప్యూటర్ విజన్ అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [కంప్యూటర్ విజన్‌కి పరిచయం. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [నోట్బుక్](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [కన్వల్యూషనల్ న్యూరల్ నెట్‌వర్క్‌లు](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN ఆర్కిటెక్చర్స్](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [ముందుగా శిక్షణ పొందిన నెట్‌వర్క్‌లు మరియు ట్రాన్స్ఫర్ లెర్నింగ్](./lessons/4-ComputerVision/08-TransferLearning/README.md) మరియు [శిక్షణ చిట్కాలు](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [ఆటోఎంకోడర్లు మరియు VAEలు](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [జనరేటివ్ అడ్వర్శరియల్ నెట్‌వర్క్‌లు & కళాత్మక శైలి బదిలీ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [వస్తు గుర్తింపు](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [ప్రయోగశాల](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [సెమాంటిక్ సెగ్మెంటేషన్. U-నెట్](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**ప్రাকృత భాషా ప్రక్రియ**](./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) | [మైక్రోసాఫ్ట్ Azureపై ప్రకృత భాషా ప్రక్రియను అన్వేషించండి](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [పాఠ్య ప్రతినిధ్యత. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [సెమాంటిక్ పదం ఎంబెడ్డింగ్స్. Word2Vec మరియు 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 | [భాషా మోడలింగ్. మీ సొంత ఎంబెడ్డింగ్స్ శిక్షణ](./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) | [ప్రయోగశాల](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [రెకర런్ట్ న్యూరల్ నెట్‌వర్క్‌లు](./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 | [జనరేటివ్ రికర్రెంట్ నెట్‌వర్క్‌లు](./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) | [ప్రయోగశాల](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [ట్రాన్స్‌ఫార్మర్‌లు. 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 | [పేరు గుర్తింపు](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [ప్రయోగశాల](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [పెద్ద భాషా మోడల్‌లు, ప్రాంప్ట్ ప్రోగ్రామింగ్ మరియు కొద్దిగా-శిక్షణ టాస్క్‌లు](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **ఇతర AI సాంకేతికతలు** || | -| 21 | [జన్యు ఆల్గోరిథమ్స్](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [నోట్‌బుక్](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [డీప్ రీన్ఫోర్స్‌మెంట్ లెర్నింగ్](./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) | [ల్యాబ్](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [బహుఏజెంట్ వ్యవస్థలు](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 21 | [జెనెటిక్ అల్గోరిథమ్స్](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [నోట్బుక్](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [డీప్ రీన్ఫోర్స్మెంట్ లెర్నింగ్](./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) | [ప్రయోగశాల](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [బహు-ఏజెంట్ వ్యవస్థలు](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **AI నైతికతలు** | | | -| 24 | [AI నైతికతలు మరియు బాధ్యతాయుత AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: బాధ్యతాయుత AI సిద్ధాంతాలు](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **అదనపు అంశాలు** | | | -| 25 | [మల్టీ-మోడల్ నెట్వర్క్స్, CLIP మరియు VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [నోట్‌బుక్](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 24 | [AI నైతికతలు మరియు బాధ్యతాయుక్త AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: బాధ్యతాయుక్త AI సിദ്ധాంతాలు](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **అదనపు విషయాలు** | | | +| 25 | [బహుముఖ నెట్‌వర్క్‌లు, CLIP మరియు VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [నోట్బుక్](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## ప్రతి పాఠంలో కలిగివుంటాయి +## ప్రతి పాఠంలో ఉండే అంశాలు -* ముందస్తుగా చదవాల్సిన పదార్థం -* నడిపించగల Jupyter నోట్‌బుక్స్, అవి తరచుగా ఫ్రేమ్‌వర్క్‌కు ప్రత్యేకంగా ఉంటాయి (**PyTorch** లేదా **TensorFlow**). నడిపించగల నోట్‌బుక్‌లో కూడా చాలా సిద్ధాంతాత్మక విషయాలు ఉంటాయి, కాబట్టి విషయాన్ని అర్థం చేసుకోవడానికి కనీసం ఒక సంచికను (PyTorch లేదా TensorFlow లో ఏదైనా ఒకటి) చూడాలి. -* కొన్ని అంశాలకు అందుబాటులో ఉన్న **ల్యాబ్‌లు**, ఇవి మీరు నేర్చుకున్న విషయాన్ని ఒక నిర్దిష్ట సమస్యపై ప్రయోగించడానికి అవకాశం ఇస్తాయి. -* కొన్ని విభాగాల్లో సంబంధిత విషయాలను కవర్ చేసే [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) మాడ్యూల్‌లు ఉంటాయి. +* ముందస్తు చదవలసిన సామగ్రి +* అమలు చేయగల జూపిటర్ నోట్బువుక్స్, ఇవి తరచుగా ఫ్రేమ్‌వర్క్ క్రింద ప్రత్యేకంగా ఉంటాయి (**PyTorch** లేదా **TensorFlow**). అమలు చేయగల నోట్బుక్‌లో చాలా స 이త్యపు విషయం కూడా ఉంటుంది, కాబట్టి విషయాన్ని అర్థం చేసుకోవడానికి కనీసం ఒక సంస్కరణ (PyTorch లేదా TensorFlow లో) చూడాలి. +* కొన్ని అంశాలకు అందుబాటులో ఉండే **ప్రయోగశాలలు** ఉన్నాయి, ఇవి మీరు నేర్చుకున్న విషయాన్ని ఒక ప్రత్యేక సమస్యకు అన్వయించడానికి అవకాశాన్ని ఇస్తాయి. +* కొంత భాగాల్లో సంబంధిత అంశాలను కవర్ చేసే [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) మాడ్యూల్స్‌కు లింకులు ఉంటాయి. -## మొదలు పెట్టడం +## ప్రారంభించడానికి -### 🎯 AIలో కొత్తారా? ఇక్కడి నుండి మొదలుపెట్టండి! +### 🎯 AI కొత్తదా? ఇక్కడ ప్రారంభించండి! -మీరు AIలో పూర్తిగా కొత్తగా ఉంటే మరియు త్వరలో, ప్రాక్టికల్ ఉదాహరణలు చూడాలనుకుంటే, మా [**అరంభకులకు అనుకూలమైన ఉదాహరణలు**](./examples/README.md) చూసుకోండి! వీటిలో ఉన్నాయి: +మీరు పూర్తిగా AI కొత్తవారు అయితే మరియు తక్షణం, చేతితో చేయగలిగే ఉదాహరణలు కావాలంటే, మా [**ప్రారంభికుల అనుకూల ఉదాహరణలు**](./examples/README.md) చూడండి! ఇవి ఉన్నాయి: -- 🌟 **హలో AI వరల్డ్** - మీ మొదటి AI ప్రోగ్రామ్ (నమూనా గుర్తింపు) -- 🧠 **సాధారణ న్యూరల్ నెట్‌వర్క్** - శూన్యంగా నుండి ఒక న్యూరల్ నెట్‌వర్క్‌ను నిర్మించండి -- 🖼️ **ఇమేజ్ క్లాసిఫైర్** - వివరణాత్మక వ్యాఖ్యలతో చిత్రాలను వర్గీకరించండి -- 💬 **టెక్స్ట్ సెంటిమెంట్** - ధనాత్మక/నెగటివ్ టెక్స్ట్‌ను విశ్లేషించండి +- 🌟 **హలో AI వరల్డ్** - మీ మొదటి AI ప్రోగ్రాం (ప్యాటర్న్ గుర్తింపు) +- 🧠 **సాదా న్యూరల్ నెట్‌వర్క్** - మొదలు నుండి న్యూరల్ నెట్‌వర్క్ నిర్మించండి +- 🖼️ **చిత్ర శ్రేణీకరణ** - వివరమైన వ్యాఖ్యలతో చిత్రాలను వర్గీకరించండి +- 💬 **పాఠ్య భావం** - పాజిటివ్/నెగటివ్ టెక్స్ట్ విశ్లేషణ -These examples are designed to help you understand AI concepts before diving into the full curriculum. +ఈ ఉదాహరణలు మీరు పూర్తి పాఠ్యాంశాన్ని ప్రారంభించడానికి ముందు AI సంకల్పనలను అర్థం చేసుకోవడానికి రూపొందించబడ్డాయి. -### 📚 పూర్తి పాఠ్యక్రమ స్థాపన +### 📚 పూర్తి పాఠ్యాంశం సెటప్ -- మేము మీ డెవలప్‌మెంట్ వాతావరణాన్ని సెటప్ చేయడానికి సహాయపడేందుకు ఒక [సెటప్ పాఠం](./lessons/0-course-setup/setup.md) రూపొందించాము. - ఉపాధ్యాయులకు కూడా, మేము ఒక [పాఠ్యక్రమ సెటప్ పాఠం](./lessons/0-course-setup/for-teachers.md) మీకోసం తయారుచేశాము! -- ఎలా [VSCode లేదా Codepaceలో కోడ్‌ను రన్ చేయాలి](./lessons/0-course-setup/how-to-run.md) +- మేము మీ అభివృద్ధి పరిసరాన్ని సెటప్ చేయడంలో సహాయపడటానికి [సెటప్ పాఠం](./lessons/0-course-setup/setup.md) రూపొందించాము. - ఉపాధ్యాయుల కోసం, మేము మీకోసం కూడా ఒక [పాఠ్యాంశం సెటప్ పాఠం](./lessons/0-course-setup/for-teachers.md) రూపొందించాము! +- VSCode లేదా Codepace లో [కోడ్ ఎలా నడుపాలి](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +ఈ దశలను అనుసరించండి: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +రిపాజిటరీని ఫోర్క్ చేయండి: ఈ పేజీ పై-కుడివైపు ఉన్న "Fork" బటన్ పై క్లిక్ చేయండి. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +రిపాజిటరీని క్లోన్ చేయండి: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +తరువాత దీన్ని సులభంగా కనుగొనడానికి ఈ రిపోకు స్టార్ (🌟) ఇవ్వండి. -## ఇతర అభ్యసకులను కలవండి +## ఇతర విద్యార్థులతో కలుసుకోండి -Join our [అధికారిక AI Discord సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +ఈ కోర్సు తీసుకుంటున్న ఇతర విద్యార్థులతో కలుసుకోవడం మరియు నెట్‌వర్క్ చేయడానికి మా [ అధికారిక AI Discord సర్వర్](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) లో చేరండి మరియు మద్దతు పొందండి. -If you have product feedback or questions whilst building visit our [Azure AI Foundry డెవలపర్ ఫోరమ్](https://aka.ms/foundry/forum) +మీరు ఉత్పత్తి ప్రతిపాదనలు లేదా ప్రశ్నలు ఉన్నట్లయితే, మా [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) కు వెళ్ళండి. -## Quizzes +## క్విజ్‌లు -> **క్విజ్‌ల గురించి గమనిక**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [ఆన్లైన్ ఇక్కడ](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **క్విజ్‌ల గురించీ ఒక గమనిక**: అన్ని క్విజ్‌లు etc\quiz-app ఫోల్డర్‌లో Quiz-app లో ఉన్నాయి, లేదా [ఆన్లైన్ ఇక్కడ](https://ff-quizzes.netlify.app/) వీటిని పాఠాల్లోనుండి లింక్ చేస్తారు. క్విజ్ యాప్ లోకల్ గా నడపవచ్చు లేదా Azure లో డిప్లాయ్ చేయవచ్చు; `quiz-app` ఫోల్డర్ లో సూచనలను అనుసరించండి. ఇవి తరచుగా ప్రాంతీయీకరించబడుతున్నాయి. -## సహాయం కావాలి +## సహాయం అవసరం -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +మీ దగ్గర సూచనలు లేదా వ్రాతపుడులు లేదా కోడ్ పాఠ్య తప్పిదాలు కనుగొన్నట్లయితే? ఒక ఇష్యూ ఎత్తండి లేదా పుల్ రిక్వెస్ట్ సృష్టించండి. ## ప్రత్యేక ధన్యవాదాలు -* **✍️ ప్రధాన రచయిత:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 సంపాదకుడు:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 స్కెచ్‌నోట్ చిత్రకారుడు:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✍️ ప్రాథమిక రచయిత:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **🔥 ఎడిటర్:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 స్కెచ్‍నోట్ చిత్రకారిణి:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ క్విజ్ సృష్టికర్త:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 ప్రధాన సహకారులు:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 ప్రాథమిక సహకారులు:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## ఇతర పాఠ్యక్రమాలు +## ఇతర పాఠ్యాంశాలు -Our team produces other curricula! Check out: +మా టీమ్ ఇతర పాఠ్యాంశాలు కూడా తయారు చేస్తుంది! చూడండి: ### LangChain @@ -171,7 +182,7 @@ Our team produces other curricula! Check out: --- -### Azure / Edge / MCP / ఏజెంట్స్ +### 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) @@ -179,7 +190,7 @@ Our team produces other curricula! Check out: --- -### Generative AI Series +### Generative AI సిరీస్ [![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) @@ -187,36 +198,36 @@ Our team produces other curricula! Check out: --- -### Core Learning +### కోర్ లెర్నింగ్ [![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) +[![డేటా సైన్స్ ఫర్ బిగినర్స్](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) +[![సైబర్‌సెక్యూరిటీ ఫర్ బిగినర్స్](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) +[![వెబ్ డెవలప్మెంట్ ఫర్ బిగినర్స్](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) +### కోపైలట్ సిరీస్ +[![AI జతగా ప్రోగ్రామింగ్ కోసం కోపైలట్](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) +[![C#/.NET కోసం కోపైలట్](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) +[![కోపైలట్ అడ్వెంచర్](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) ## సహాయం పొందడం -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +మీరుద్వంద్వ దశలో చిక్కుకున్నట్లయితే లేదా AI యాప్‌లు నిర్మించడంపై ఏదైనా ప్రశ్నలు ఉంటే Fellow learners మరియు అనుభవజ్ఞులైన డెవలపర్లు MCP గురించి చర్చలలో చేరండి. ఇది ప్రశ్నలకు స్వాగతం తెలిపే, జ్ఞానాన్ని స్వేచ్ఛగా పంచుకునే మద్దతు వంతమైన క‌మ్యూనిటీ. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +నిర్మాణ సమయంలో ఉత్పత్తి సూచనలు లేదా తప్పిదాలు ఉంటే సందర్శించండి: [![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) --- -డిస్క్లెయిమర్: -ఈ పత్రాన్ని AI అనువాద సేవ Co‑op Translator (https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము ఖచ్చితత్వానికి ప్రయత్నించినప్పటికీ, స్వయంచాలక అనువాదాల్లో పొరపాట్లు లేదా లోపాలు ఉండవచ్చు అని దయచేసి గమనించండి. మూల పత్రాన్ని దాని స్వదేశీ భాషలో ఉన్నది అధికారిక మూలంగా పరిగణించాలి. కీలకమైన సమాచారం కోసం వృత్తిపరమైన మానవ అనువాదాన్ని సిఫార్సు చేయబడుతుంది. ఈ అనువాదాన్ని ఉపయోగించడంవలన ఉద్భవించగల ఏవైనా అపార్థాలు లేదా తప్పుగా అర్థం చేసుకోవడాలపై మేము బాధ్యత వహించము. +**అస్పష్టం**: +ఈ డాక్యుమెంట్ AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మనం ఖచ్చితత్వానికి ప్రయత్నించినప్పటికీ, ఆటోమేటెడ్ అనువాదాల్లో తప్పులు లేదా అసమర్థతలు ఉండవచ్చు. స్థానిక భాషలో ఉన్న అసలు డాక్యుమెంట్‌ను అధికారిక మూలంగా చూడాలి. కీలక సమాచారం కోసం నిపుణుల చేతి అనువాదం చేయించుకోవడం మంచిది. ఈ అనువాదం వాడకం వల్ల ఉద్భవించే ఏవైనా అపార్థాలు లేదా తప్పు అర్థాల కోసం మేము బాధ్యత వహించము. \ No newline at end of file