A SkillsCast for this session is not available.
Along the way, we will explore simple machine learning ideas that are broadly applicable, and can help develop agents that automatically learn and adapt.
This session is suitable for intermediate to advanced F#ers; requires no knowledge of machine learning
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Mathias Brandewinder has been writing software in C# for about 10 years, and loving every minute of it, except maybe for a few release days. He is an F# MVP, the author of "Machine Learning Projects for .NET Developers" (Apress), enjoys arguing about code and how to make it better, and gets very excited when discussing TDD or F#.