Bri Achtman, Author at .NET Blog

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ML.NET Survey: Machine Learning in .NET

April 8th, 2021

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 15th, 2021

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

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.

Bri Achtman

Program Manager, .NET