Machine Learning Studio

Simple, scalable, cutting edge

Welcome to Machine Learning Studio, the Azure Machine Learning solution you’ve grown to love. Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks.

A fully-managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions.

Example of a cloud service architecture where Machine Learning enables you to build, deploy, and share predictive analysis solutions

New to machine learning?

If you're just getting started, read David Chappell's Introduction for Technical Professionals.

Get a quick introduction to data science in five short videos and learn how to select the best algorithm with the ML cheat sheet mini site.

New to the product?

If you have data science skills, but are getting started with Azure Machine Learning, check out our tutorials, or get started with sample experiments from the Gallery. Have questions? Ask our engineers in our forum.

Current R or Python user?

Azure Machine Learning Studio includes hundreds of built-in packages and support for custom code.

Learn more about how to get started on Machine Learning with R and Python by reading our blog.

Data scientist or developer?

Azure Machine Learning is designed for applied machine learning. Use best-in-class algorithms and a simple drag-and-drop interface—and go from idea to deployment in a matter of clicks. Try it free.

If you're a developer who wants the data science built in, check out our APIs and Azure Marketplace.

Deploy in minutes

Use Azure Machine Learning to deploy your model into production as a web service in minutes—a web service that can be called from any device, anywhere, and that can use any data source. Learn more about Web Services.

Publish, share, monetize

Share your solution with the world in the Gallery or on the Azure Marketplace.


Telco Customer Churn

Customer churn can take different forms, such as switching to a competitor's service, reducing the number of services used, or switching to a lower cost service...

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Anomaly Detection: Credit Risk

Attempt to predict credit risk as anomalies within the data.

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Data Mining 2016 Presidential Campaign Finance Data

Play with campaign finance data while learning how to prepare a large dataset for machine learning by processing and engineering features.

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The Gallery is a learning platform built by our engineers and users like you to share best practices with the data science community. Contribute today.

Explore Predictive Analytic Experiments contributed by Microsoft and the data science community.
Discover the Solutions Gallery and explore a variety of preconfigured solutions, reference architecture and design patterns in the Solutions Gallery.

What our customers are saying


"The beauty of Azure Machine Learning is that it integrates with open-source technology in a decoupled fashion. Whatever your infrastructure, Azure Machine Learning delivers value."

Fernando Fanton, Sr. VP of Product Development, Mendeley

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Rockwell Automation

"What we're talking about delivering is a degree of collaboration and visibility unheard of in the oil and gas industry."

Doug Weber, Remote Application Monitoring, Rockwell Automation

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"This epitomizes the value of the Internet of Things and machine learning to SLAC. The intelligent systems tell us of an issue before we use the system data to manually figure it out."

James Williams, CIO Stanford's SLAC National Accelerator Laboratory

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Create smarter, more insightful solutions with artificial intelligence (AI)

Explore new ways to build innovative apps on a cloud and edge powered by AI. Azure offers AI services, infrastructure, and tools that are easy to use and scale, as well as resources and certifications for developers building intelligent solutions.

Learn more about the Microsoft AI platform

Try Azure Machine Learning free with your Microsoft Account