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

Here is a round-up of key announcements and releases related to artificial intelligence and machine learning.

From conversation to code: Microsoft introduces its first product features powered by GPT-3 - The AI Blog Skip to content

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Announced at Ignite 2019, Azure Quantum is a full-stack, cloud ecosystem enabling access to diverse quantum hardware and software. Aimed at developers, researchers, and customers, Azure Quantum is now in public preview.

You may have heard that at JetBrains, we “develop with pleasure” and have the “drive to develop”, but what you may not have heard is that our interests are not limited to just development and the crea

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This post will teach you how to predict the value of a boolean using ML.NET and a binary classification trainer. The code uses movie scores as an example.

ML.NET Model Builder brings numerous bug fixes and enhancements, including advanced data loading options and streaming training data from SQL

ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave the .NET ecosystem or even have a background in ML or data science. ML.NET provides tooling (Model Builder UI in Visual Studio and the cross platform ML.NET CLI) that automatically trains custom machine learning models for you based on your scenario and data.