ML.NET is constantly evolving to keep up with all the latest ML features. With increasing popularity of AI more and more developers will want to start training custom models and using those models.

It's all well and good to deliver successive machine learning (ML) platforms for data scientists, but if we don't bring business developers on board, ML and Artificial Intelligence (AI) just won't ...

Dating back to 2004, Infer.Net has evolved from being a research tool to serving as the machine learning engine in some Microsoft products in Office, Azure, and Xbox. With Infer.Net, developers ...

Deep learning functionality is also on tap, as it's planned to work with libraries such as TensorFlow, Caffe2 and CNTK, along with general machine learning libraries such as Accord.NET. Along with ...

Introduced June 14, the ML.NET Text Classification API uses “state-of-the-art” deep learning techniques, Microsoft said. ML.NET allows developers to integrate custom machine learning models ...