Machine Learning Archives

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.

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.

MLOps: DevOps for Machine Learning

Bri Achtman October 13, 2020 Oct 13, 2020 10/13/20

Machine Learning Operations (MLOps) is like DevOps for the machine learning lifecycle. This includes things like model deployment & management and data tracking, which help with productionizing machine learning models. Through the survey below, we'd love to get feedback on your current DevOps practices as well as your prospective usage ...

ML.NET September Updates

Bri Achtman September 25, 2020 Sep 25, 2020 09/25/20

This release of ML.NET (1.5.2) brings numerous bug fixes and enhancements, while tooling updates include the ability to train object detection models using Azure ML via Model Builder and to locally train image classification models with the ML.NET CLI.

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) ...

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!

An Introduction to DataFrame

Prashanth Govindarajan December 16, 2019 Dec 16, 2019 12/16/19

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 Torre November 6, 2019 Nov 6, 2019 11/6/19

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 ...

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