Machine Learning Archives

Using ML.NET for deep learning on images in Azure

Luis QuintanillaMay 6, 2020May 6, 202005/6/20

This post will show you how to train a custom image classification model in Azure to categorize flowers using ML.NET Model Builder. Then, you can leverage your existing .NET skills to consume the trained model inside a C# .NET Core console application. Best of all, little to no prior machine learning knowledge is required.

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!

ML.NET Model Builder Updates

Bri AchtmanNovember 12, 2019Nov 12, 201911/12/19

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.

Announcing ML.NET 1.0

Ankit AsthanaMay 6, 2019May 6, 201905/6/19

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 an

Introducing .NET for Apache® Spark™ Preview

Ankit AsthanaApril 24, 2019Apr 24, 201904/24/19

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

Cesar De la TorreJanuary 10, 2019Jan 10, 201901/10/19

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)

Cesar De la TorreNovember 8, 2018Nov 8, 201811/8/18

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 customiza

Announcing ML.NET 0.6 (Machine Learning .NET)

Cesar De la TorreOctober 8, 2018Oct 8, 201810/8/18

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

Cesar De la TorreSeptember 12, 2018Sep 12, 201809/12/18

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

.NET TeamNovember 15, 2017Nov 15, 201711/15/17

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 desi

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