.NET Blog

Free. Cross-platform. Open source. A developer platform for building all your apps.

Introducing the Half type!

The specification defines many floating point types, including: , , and . Most developers are familiar with (equivalent to in C#) and (equivalent to in C#). They provide a standard format to represent a wide range of values with a precision acceptable for many applications. .NET has always had and and with .NET 5 Preview 7, we've added...

ML.NET and Model Builder at .NET Conf 2019 (Machine Learning for .NET)

We are excited today to announce updates to Model Builder and improvements in ML.NET. You can learn more in the “What’s new in ML.NET?.” session at .NET Conf. ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. ML.NET offers Model Builder Model Builder (a simple UI tool) ...

Hey .NET! Have you tried ML.NET?

ML.NET is an open source and cross-platform machine learning framework made for .NET developers. Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more. ML.NET 1.0 was released at //Build 2019, and since then ...

Announcing ML.NET 1.2 and Model Builder updates (Machine Learning for .NET)

We are excited to announce ML.NET 1.2 and updates to Model Builder and the CLI. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. ML.NET also includes Model Builder (a simple UI tool for Visual Studio) and the ML.NET CLI (Command-line interface) to make it super easy to build custom Machine Learning (...

Submit to the Applied F# Challenge!

This post was written by Lena Hall, a Senior Cloud Developer Advocate at Microsoft. F# Software Foundation has recently announced their new initiative — Applied F# Challenge! We encourage you to participate and send your submissions about F# on Azure through the participation form. Applied F# Challenge is a new initiative to ...

Tell us your thoughts on ML.NET, an open source and cross-platform machine learning framework

ML.NET is an open source and cross-platform machine learning framework made for .NET developers. .NET developers can use their C# or F# skills to easily integrate custom machine learning into their web, mobile, desktop, gaming, or IoT applications without any prior expertise in developing or tuning machine learning models. ML.NET covers many ...