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This time on the Eat Sleep Code podcast, we talk to Microsoft's John Alexander about exciting new Machine Learning libraries for .NET.

On this episode of Eat Sleep Code, Sr. Content Developer at Microsoft John Alexander talks about ML.NET, a set of new Machine Learning libraries for .NET. John explains the purpose of ML.NET and how it enables .NET developers to incorporate machine learning into their .NET (C# & F#) applications. ML.NET basics, extensiblity, and road maps are all discussed.

You can listen to the entire show and catch past episodes on SoundCloud. Or just click below.

John Alexander

John Alexander, Sr. Content Developer at Microsoft
John Alexander is a client-centric, UX-focused software architecture and development thought leader, and noted Microsoft Regional Director, consultant, trainer, published author and speaker.

Show Notes


Coming soon...

About the Author

Ed Charbeneau

Ed Charbeneau is a web enthusiast, speaker, writer, design admirer, and Developer Advocate for Telerik. He has designed and developed web based applications for business, manufacturing, systems integration as well as customer facing websites. Ed enjoys geeking out to cool new tech, brainstorming about future technology, and admiring great design. Ed's latest projects can be found on GitHub.


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