Bri Achtman

ML.NET Model Builder November Updates

November 30th, 2020

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

October 13th, 2020

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

September 25th, 2020

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.

August ML.NET API and Tooling Updates

August 20th, 2020

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) ...

ML.NET Model Builder is now a part of Visual Studio

May 19th, 2020

ML.NET is a cross-platform, machine learning framework for .NET developers. Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to train and consume custom ML.NET models in your .NET apps. You can use ML.NET and Model Builder to create custom machine learning models without having prior machine ...

What do you want to see next in ML.NET?

March 11th, 2020

ML.NET is an open source and cross-platform machine learning framework made for .NET developers. Using ML.NET, you can stay in .NET to easily build and consume custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more. Over the past six months, ...

February ML.NET Model Builder Updates

March 2nd, 2020

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

November 12th, 2019

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.

Hey .NET! Have you tried ML.NET?

August 21st, 2019

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 ML.NET 0.11 – Machine Learning for .NET

March 8th, 2019

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 models for common scenarios like Sentiment Analysis, ...