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December 16, 2019Dec 16, 201912/16/19Last 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,
November 6, 2019Nov 6, 201911/6/19Coinciding with the Microsoft Ignite 2019 conference, we are thrilled to announce the GA release of ML.NET 1.4 and updates to Model Builder in Visual Studio, with exciting new machine learning features that will allow you to innovate your .NET applications.
September 24, 2019Sep 24, 201909/24/19We 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.
September 3, 2019Sep 3, 201909/3/19We 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 Machine Learning (AutoML).
August 21, 2019Aug 21, 201908/21/19ML.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,
March 29, 2019Mar 29, 201903/29/19We’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,
February 5, 2019Feb 5, 201902/5/19This 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.
January 10, 2019Jan 10, 201901/10/19
Announcing ML.NET 0.9 – Machine Learning for .NET
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models.
October 8, 2018Oct 8, 201810/8/18Today we’re announcing our latest monthly release: ML.NET 0.6! ML.NET is a cross-platform, open source machine learning framework for .NET developers. We want to enable every .NET developer to train and use machine learning models in their applications and services. If you haven’t tried ML.NET yet,
May 31, 2017May 31, 201705/31/17Why you should use F#
This post was written by Phillip Carter and Mads Torgersen. Both work on languages on the .NET team.
At Build 2017, we presented a tech talk entitled “Why You Should Use F#”. However, not everyone can attend Build,
