ML.NET Archives

ML.NET June Updates

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

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

ML.NET Survey: Machine Learning in .NET

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

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

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

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

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

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

ML.NET Model Builder November Updates

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

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.

Introducing the Half type!

Prashanth Govindarajan August 31, 2020 Aug 31, 2020 08/31/20

The IEEE 754 specification defines many floating point types, including: binary16, binary32, binary64 and binary128. Most developers are familiar with binary32 (equivalent to float in C#) and binary64 (equivalent to double in C#). They provide a standard format to represent a wide range of values with a precision acceptable for many ...

August ML.NET API and Tooling Updates

Bri Achtman August 20, 2020 Aug 20, 2020 08/20/20

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

Luis Quintanilla May 6, 2020 May 6, 2020 05/6/20

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

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

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!

ML.NET Model Builder Updates

Bri Achtman November 12, 2019 Nov 12, 2019 11/12/19

ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models.

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