Machine Learning With ML.NET

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 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

• ML.NET on GitHub
• ML.NET Samples on GitHub
• ML.NET Documentation
• DevUp Conference
• NDC Sidney

Transcript

Coming soon...