Machine Learning Tools from Microsoft

Azure Machine Learning. Azure Machine Learning features a library of time-saving sample experiments, R and Python packages and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Azure ML also supports R and Python custom code, which can be dropped directly into your workspace. Experiments are easily shared, so others can pick up where you left off. In minutes you can make your model live as a fully managed web service that can connect to any data, anywhere. And you can share your solution with the Azure Machine Learning community in the product Gallery, and can take it even further, by branding your solution on the Azure Machine Learning Marketplace and sharing it with the world.

CNTK. CNTK, the Computational Network Toolkit by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

Vowpal Wabbit. A fast, out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. Also see Vowpal Wabbit Training.

Microsoft R Open. Microsoft R Open, formerly known as Revolution R Open (RRO), is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science.

Microsoft R Server. Microsoft R Server is your flexible choice for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business.

R Tools for Visual Studio. R Tools for Visual Studio (RTVS) is a tool for creating R programs using Visual Studio.

Python Tools for Visual Studio (PTVS). A free, open source plugin that turns Visual Studio into a Python IDE.

Infer.NET. Solve many different kinds of machine learning problems, from standard problems like classification or clustering through to customized solutions to domain-specific problems.

 

 

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