In this video, we introduce ML.NET, an open-source, cross-platform ML framework for .NET. We then show what you can do with ML.NET and how it integrates with the rest of the .NET ML ecosystem.
Follow along: https://aka.ms/dotnet/beginnervideos/repo
Series:
1 - Introduction: https://youtu.be/vISLS8aY0RU
2 - What is AI and ML?: https://youtu.be/Len8KRBFvGo
3 - Introduction to ChatGPT: https://youtu.be/138LP5oztVg
4 - Prompts & Prompt Engineering: https://youtu.be/0KuZJsm84-k
5 - Adding context to your prompts: https://youtu.be/cNtBT2CsVIk
6 - Introduction to ChatGPT Plugins: https://youtu.be/e3rO5W0q6q8
7 - Introduction to Azure AI Services: https://youtu.be/YPwjd5oEZMc
8 - Training custom models with Azure AI Services: https://youtu.be/DbooMAyhfL8
9 - Introduction to ML.NET: https://youtu.be/wy4TyzGhXyw
10 - Introduction to AutoML: https://youtu.be/Wmybg70CW9A
11 - Train your own custom ML model using ML.NET: https://youtu.be/ji1hrvVfrhY
12 - Deploy your custom ML.NET model: https://youtu.be/eaAIJQWp_FY
Learn more:
- .NET Machine Learning and AI for Beginners Samples: https://aka.ms/dotnet-ai-beginner
- Intelligent App Sample: https://aka.ms/dotnet-ai-app
- Azure OpenAI Service documentation: https://learn.microsoft.com/azure/ai-services/openai/
- Azure AI Services documentation: https://learn.microsoft.com/azure/ai-services/
- ML.NET Documentation: https://learn.microsoft.com/dotnet/machine-learning/
- .NET YouTube - https://youtube.com/dotnet
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