.NET Blog

Free. Cross-platform. Open source. A developer platform for building all your apps.

Announcing ML.NET 1.0

We are excited to announce the release of ML.NET 1.0 today.  ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications. https://github.com/dotnet/machinelearning Star Get Started @ http://dot.net/ml ML.NET allows you to train, build ...

Introducing .NET for Apache® Spark™ Preview

Today at Spark + AI summit we are excited to announce .NET for Apache Spark. Spark is a popular open source distributed processing engine for analytics over large data sets. Spark can be used for processing batches of data, real-time streams, machine learning, and ad-hoc query. .NET for Apache Spark is aimed at making Apache® Spark...

Announcing ML.NET 0.9 – Machine Learning for .NET

  Announcing ML.NET 0.9 - Machine Learning for .NET 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...

Announcing ML.NET 0.7 (Machine Learning .NET)

We're excited to announce today the release of ML.NET 0.7 - the latest release of the cross-platform and open source machine learning framework for .NET developers (ML.NET 0.1 was released at //Build 2018). This release focuses on enabling better support for recommendation based ML tasks, enabling anomaly detection, enhancing the ...

Announcing ML.NET 0.6 (Machine Learning .NET)

Today we’re announcing our latest monthly release: ML.NET 0.6! ML.NET is a cross-platform, open source machine learning framework for .NET developers. We want to enable every .NET developer to train and use machine learning models in their applications and services. If you haven’t tried ML.NET yet, here’s how you can get started! The ...

Announcing ‘Machine Learning .NET’ 0.5

Today, coinciding with the .NET Conf 2018, we're announcing the release of ML.NET 0.5. It’s been a few months already since we released ML.NET 0.1 at //Build 2018, a cross-platform, open source machine learning framework for .NET developers. While we’re evolving through new preview releases, we are getting great feedback and would like to ...

Introducing Tensor for multi-dimensional Machine Learning and AI data

Overview Tensor is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor<T> is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place.  Tensor<T> is ...

.NET AI/ML themed blogs: Building recommendation engine for .NET applications using Azure Machine Learning

⏱ Updated on June 28, 2017 🙌 Welcome to the first of  .NET's new AI and Machine Learning themed blog entries! We have set up this space as a place to share and discuss the work we will be doing with AI and Machine Learning. Through a series of blog posts, we would like to show you different ways on how .NET developers can ...
Comments are closed.0.NET

Why you should use F#

Why you should use F# This post was written by Phillip Carter and Mads Torgersen. Both work on languages on the .NET team. At Build 2017, we presented a tech talk entitled "Why You Should Use F#". However, not everyone can attend Build, and many attendees were unable to find a position in the room where they could adequately hear us. You ...