Machine Learning Archives

ML.NET Model Builder November Updates

Bri AchtmanNovember 30, 2020Nov 30, 202011/30/20

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 AchtmanOctober 13, 2020Oct 13, 202010/13/20

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 AchtmanSeptember 25, 2020Sep 25, 202009/25/20

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 GovindarajanAugust 31, 2020Aug 31, 202008/31/20

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 AchtmanAugust 20, 2020Aug 20, 202008/20/20

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 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 ...

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) ...

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 ...

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