Machine Learning Made Easy with ML.NET and F#
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Are you a .NET developer looking to break into Machine Learning? In this talk Riccardo Terrell shares how easy it is to start using ML in your .NET applications by utilising ML.NET in F#
Break into the world of machine learning, which is both available and easy for .NET developers. It’s imperative in today’s world to be able to make fast decisions based on real-time data.
In this session, you will learn how easy is to start using machine learning in your .NET applications via ML.NET in F# to make split-second evaluations. This session demo includes several code examples to cover different machine learning algorithms for useful cases. You will walk away from this session with knowledge on how to leverage functional approaches in combination with ML.NET, to maximize your business success.
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Machine Learning Made Easy with ML.NET and F#
Riccardo Terrell
Riccardo is a Microsoft Most Valuable Professional (MVP) who is active in the .NET, functional programming, and F# communities.He is passionate about integrating advanced technology tools to increase internal efficiency, enhance work productivity, and reduce operating costs.