A fully-managed cloud service that enables you to easily build, deploy, and share predictive analytics 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.
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.
experiment
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...
experiment
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
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.
Customer stories
See how American Eagle uses Azure Machine Learning to try and break the land speed record.
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
Learn more
"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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