Machine Learning Archives | Page 2 of 2

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Announcing F# 4.6

Phillip CarterMarch 29, 2019Mar 29, 201903/29/19

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) ...

Submit to the Applied F# Challenge!

Phillip CarterFebruary 5, 2019Feb 5, 201902/5/19

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 ...

Announcing ML.NET 0.9 – Machine Learning for .NET

Cesar De la TorreJanuary 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...

Announcing ML.NET 0.6 (Machine Learning .NET)

Cesar De la TorreOctober 8, 2018Oct 8, 201810/8/18

Today 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, here’s how you can get started! The ...

Why you should use F#

Phillip CarterMay 31, 2017May 31, 201705/31/17

Why 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, and many attendees were unable to find a position in the room where they could adequately hear us. You ...

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