Custom Machine Learning Made Easy With ML.NET

A few months back, I wrote a post for Progress/Telerik devblogs on building offline machine learning models for ML.NET's quickly and easily using the Model Builder GUI. The piece briefly introduces ML.NET and then follows with a walkthrough of training an interaction prediction engine for New York taxi fares. That post was finally published this month, so you can read all about it over at Telerik blogs:

Although I mostly work on Xamarin things, ML is an area of interest and I'm glad to have a good .NET-friendly framework to work with in ML.NET. Lately I have been playing with Tensorflow and ML.NET and realtime processing of video game feeds, to do things like scene detection and digit classification (score, health) etc.