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Check out what's new in ML.NET and Model Builder.

Check out what's new in ML.NET and Model Builder.

Take the ML.NET Model Explainability survey to let us know what you want to see in ML.NET for explainability and fairness.

Take the ML.NET survey to let us know what you want to see next for Machine Learning in .NET.

This release of ML.NET and Model Builder brings numerous bug fixes and enhancements as well as new features, including config-based training and a redesigned Consume step.

Learn how to serve machine learning models from HTTP APIs using minimal configuration

This release of ML.NET Model Builder brings numerous bug fixes and enhancements as well as new features, including advanced data loading options and streaming training data from SQL.

Introducing .NET Live TV, your one stop shop for all .NET and Visual Studio developer live streams across Twitch and YouTube.

Machine Learning Operations (MLOps) is like DevOps for the machine learning lifecycle. This includes things like model deployment & management and data tracking, which help with productionizing machine learning models. Through the survey below, we'd love to get feedback on your current DevOps practices as well as your prospective usage of ML...

This release of ML.NET (1.5.2) brings numerous bug fixes and enhancements, while tooling updates include the ability to train object detection models using Azure ML via Model Builder and to locally train image classification models with the ML.NET CLI.