Machine Learning

Announcing SynapseML for .NET – Large Scale ML with a Simple API

August 9, 2022 Aug 9, 2022 08/9/22

Announcing the release of hundreds of new distributed machine learning models and capabilities for .NET as part of the SynapseML distributed ML library.

Training a ML.NET Model with Azure ML

February 28, 2022 Feb 28, 2022 02/28/22

Becca McHenry

Learn how to create a training pipeline for ML.NET using Azure ML and Azure Devops.

ML.NET June Updates

June 22, 2021 Jun 22, 2021 06/22/21

Bri Achtman

Check out what's new in ML.NET and Model Builder.

ML.NET Survey: Machine Learning in .NET

April 8, 2021 Apr 8, 2021 04/8/21

Bri Achtman

Take the ML.NET survey to let us know what you want to see next for Machine Learning in .NET.

ML.NET and Model Builder March Updates

March 15, 2021 Mar 15, 2021 03/15/21

Bri Achtman

This release of ML.NET and Model Builder brings numerous bug fixes and enhancements as well as new features, including config-based training and a redesigned Consume step.

Serve ML.NET Models as HTTP APIs with minimal configuration

March 1, 2021 Mar 1, 2021 03/1/21

Luis Quintanilla

Learn how to serve machine learning models from HTTP APIs using minimal configuration

ML.NET Model Builder November Updates

November 30, 2020 Nov 30, 2020 11/30/20

Bri Achtman

This release of ML.NET Model Builder brings numerous bug fixes and enhancements as well as new features, including advanced data loading options and streaming training data from SQL.

August ML.NET API and Tooling Updates

August 20, 2020 Aug 20, 2020 08/20/20

Bri Achtman

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) ...

Using ML.NET for deep learning on images in Azure

May 6, 2020 May 6, 2020 05/6/20

Luis Quintanilla

This post will show you how to train a custom image classification model in Azure to categorize flowers using ML.NET Model Builder. Then, you can leverage your existing .NET skills to consume the trained model inside a C# .NET Core console application. Best of all, little to no prior machine learning knowledge is required.

February ML.NET Model Builder Updates

March 2, 2020 Mar 2, 2020 03/2/20

Bri Achtman

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!

.NET Blog