Machine Learning Archives

February ML.NET Model Builder Updates

Bri AchtmanMarch 2, 2020Mar 2, 202003/2/20

With the ML.NET Model Builder, create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience and without leaving the .NET ecosystem!

An Introduction to DataFrame

Prashanth GovindarajanDecember 16, 2019Dec 16, 201912/16/19

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.

Announcing ML.NET 1.4 general availability (Machine Learning for .NET)

Cesar De la TorreNovember 6, 2019Nov 6, 201911/6/19

Coinciding 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. ML.NET is an open-source and cross-platform machine learning framework for .NET develo

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

Cesar De la TorreSeptember 24, 2019Sep 24, 201909/24/19

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) a

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

Cesar De la TorreSeptember 3, 2019Sep 3, 201909/3/19

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 Machine Lear

Hey .NET! Have you tried ML.NET?

Bri AchtmanAugust 21, 2019Aug 21, 201908/21/19

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 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) pr

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 encour

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

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