It’s no exaggeration to say that Machine Learning (ML) is quickly changing the way we live. Things we are accustomed to today are things we could only dream of 10 years ago. As ML is becoming more and more mainstream, you may be asking yourself how to get started.

Historically, many of the tools and libraries used to train a model have been found in the Python and R communities (e.g. Scikit Learn, PyTorch, TensorFlow), but what if you’re a .NET Developer?

This session will be introducing ML.NET! ML.NET is an open-source, cross-platform machine learning library, specifically built to enable .NET developers to train their own custom machine learning models in C# or F#.

In this session we’ll introduce some fundamental ML concepts and terms before transitioning into the world of ML.NET and building our first model from scratch.

Beware, there will be live coding!