ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is an extensible platform that powers Microsoft products & services like Windows Hello, Bing Ads, PowerPoint Design Ideas, and more. This session focuses on what’s new with ML.NET and through a variety of demos describes how to build custom ML models like issue classification, object detection, and recommender systems from scratch, using both the API and the new Visual Studio tooling with AutoML support. This session is a great way to get a jump start with Machine Learning using ML.NET!

You will learn:

• About ML.NET and how does it works
• What kind of machine learning scenarios are supported in ML.NET
• How to build a machine learning model with ML.NET