Jon Wood shows the importance of model explainability and a few ways you can do this ML.NET with linear regression models in this video.

Related links:

Paper mentioned in video and where wolf vs husky photo is from – https://arxiv.org/pdf/1602.04938.pdf

Code – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/ModelExplainability/Program.cs

ML.NET Playlist – https://www.youtube.com/watch?v=8gVhJKszzzI&list=PLl_upHIj19Zy3o09oICOutbNfXj332czx

Jon Wood has posted the third video in the ML.NET end-to-end series shows how to use Blazor to call the ML.NET API to make predictions in a web page. 

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Jon Wood show us how to use ML.NET in an Event Hub consumer to get real-time data predictions. 

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