A fully managed cloud service that enables you to easily build, deploy and share predictive analytics solutions.
If you’re just getting started, read David Chappell’s Introduction for Technical Professionals
Another great resource is Roger Barga’s book, Predictive Analytics with Microsoft Azure Machine Learning. Read an interview with the author.
Azure Machine Learning Studio includes hundreds of built-in packages and support for custom code.
Learn more about how to get started with Machine Learning with R and Python by reading our blog.
Azure Machine Learning was 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 for free.
If you’re a developer who wants the data science to be built-in, take a look at our APIs and Azure Marketplace.
Azure Machine Learning means business. You can deploy your model into production as a web service in minutes – a web service that can be called from any device and any location that can use any data source.
Share your solution with the world in the Gallery or on the Azure Marketplace.
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.
See how American Eagle uses Azure Machine Learning within Cortana Analytics Suite to try to break the land speed record.
"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."
"What we're talking about delivering is a degree of collaboration and visibility unheard of in the oil and gas industry."
"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."
When: 1 March, 2016