.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...

August ML.NET API and Tooling Updates

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) ...

An Introduction to DataFrame

Last month, we announced .NET support for Jupyter notebooks, and showed how to use them to work with .NET for Apache Spark and ML.NET. Today, we're announcing the preview of a DataFrame type for .NET to make data exploration easy. If you've used Python to manipulate data in notebooks, you'll already be familiar with the concept of a DataFrame...

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) ...

Announcing ML.NET 1.4 Preview and Model Builder updates (Machine Learning for .NET)

(image) We are excited to announce ML.NET 1.4 Preview and updates to Model Builder and 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) and CLI to make it super easy to build custom Machine Learning (ML) models using Automated ...

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 (...

Announcing F# 4.6

We're excited to announce general availability of F# 4.6 and the F# tools for Visual Studio 2019! In this post, I'll show you how to get started, explain the F# 4.6 feature set, give you an update on the F# tools for Visual Studio, and talk about what we're doing next. F# 4.6 was developed entirely via an open RFC (requests for comments) ...