.NET Machine Learning & AI
Build intelligent .NET apps with features like emotion and sentiment detection, vision and speech recognition, language understanding, knowledge, and search.
Build intelligent .NET apps with features like emotion and sentiment detection, vision and speech recognition, language understanding, knowledge, and search.
ML.NET is a free, open-source, cross-platform machine learning framework made specifically for .NET developers.
With ML.NET, you can develop and integrate custom machine learning models into your .NET applications, without needing prior machine learning experience.
ML.NET is an extensible platform, with tooling in Visual Studio as well as a cross-platform CLI, that powers recognized Microsoft features like Windows Hello, Bing Ads, PowerPoint Design Ideas, and more.
Apache Spark is a general-purpose distributed data analytics engine that operates on large data sets, typically, terabytes or petabytes of data.
.NET for Apache Spark gives you APIs for using Apache Spark from C# and F#.
Easily add intelligent features to your .NET apps with our pre-built AI models — such as emotion and sentiment detection, vision and speech recognition, language understanding, knowledge, and intelligent search.
The Intelligent Kiosk sample app illustrates how Cognitive Services can be incorporated into a .NET app.
Azure Machine Learning is a fully-managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions.
The Recommendation Engine sample app shows Azure Machine Learning being used in a .NET app.
F# (pronounced F sharp) is a succinct, robust, performant language that is great for data science and machine learning.
F#'s type system and unique features such as Type Providers and Units of Measure are a great fit for data science and ML.
Our step-by-step tutorial will help you get .NET running on your computer.
Supported on Windows, Linux, and macOS
