ML.NET is an open source, cross-platform, machine learning framework for .NET developers that was released at Build 2018. Throughout this past year, the technology has been strongly evolving with monthly point releases that further solidify the API and cover more machine learning tasks. In addition to helping developers build custom models, it integrates with other frameworks such as TensorFlow and ONNX further expanding its interoperability and use cases. In this talk, you'll learn about the framework, its main components for building custom machine learning models and how to deploy such models into production.