Learn how the Azure Machine Learning service in the cloud lets you easily build, deploy, and share advanced analytics solutions.
Register for the Cortana Analytics workshop—a two-day technical workshop in Redmond that offers architectural guidance and hands-on training to build your own apps and custom solutions using the state-of-the-art Cortana Analytics platform and tools. Learn more
Machine Learning offers a streamlined experience for all data scientist skill levels, from setting up with only a web browser to using drag-and-drop gestures and simple data-flow graphs to set up experiments. Azure Machine Learning Studio features a library of time-saving sample experiments, R and Python packages, and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Machine Learning supports R and Python custom code, which can be dropped directly into your workspace. Easily share your experiments, so that others can pick up where you left off.
Machine Learning is designed for applied machine learning, which means that in minutes your model is live as a fully managed web service that can connect to any data, anywhere. That's when the full power of machine learning is unleashed. As your needs change, you can easily update your solution and put it back into production, while still being able to revisit your previous results.
Now you’ve used the powerful algorithms running Microsoft businesses today, mixed and matched them with your own custom R or Python code, and created a solution worth sharing. With a click, you share your solution with the Machine Learning community in the product gallery. Then take it even further by monetizing and branding your solution on the Azure Machine Learning Marketplace and sharing it with the world.