Machine Learning for .NET Developers with ML.NET
summary
ML.NET is an extensible .NET machine learning framework that lets .NET developers build models without leaving the C#/Visual Studio ecosystem. The talk shows available and planned ML.NET features, demonstrates creating a machine-learning model in Visual Studio using a few lines of C# code, and discusses applying and improving applications with ML algorithms and data-processing methods.
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chapters (11)
- 0:00Introduction
- 2:04What is machine learning
- 8:55Classification and regression
- 11:25Python limits vs ML.NET
- 14:59ML.NET in practice
- 20:54Building ML.NET models
- 26:30App demo with ML.NET
- 33:58Training and saving results
- 39:12Model quality metrics
- 48:51ML.NET future features
- 52:11Q&A
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