Azure Machine Learning Studio

Simple, scalable, cutting edge

Welcome to Studio, the Azure Machine Learning solution you have grown to love. 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 are 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 are 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, monetise

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

experiment

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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experiment

Anomaly Detection: Credit Risk

Attempt to predict credit risk as anomalies within the data.

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experiment

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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Gallery

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.

Customer stories

See how American Eagle uses Azure Machine Learning to try and break the land speed record.

What our customers are saying

Mendeley

"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

Learn more
RockwellAutomation

"What we are 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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SLAC

"This epitomises 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

Learn more

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Try Azure Machine Learning free with your Microsoft Account

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