Session 7: Automated Machine Learning in ML.NET
summary
An introduction to Automated Machine Learning (AutoML) using ML.NET, covering how ML.NET automates model selection and training for .NET developers. It presents the ML.NET AutoML tools and workflow for building models without hand-tuning algorithms, aimed at simplifying machine learning tasks in .NET applications.
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chapters (10)
- 0:00Introduction
- 2:12Developer automation
- 5:24ML vs traditional software
- 7:13ML.NET and automation
- 9:01Practical applications
- 12:55Train model with AutoML
- 16:29Results and code
- 19:00Application integration
- 20:32Production and predictions
- 22:01Conclusion
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