Azure ML Hands-On Lab content is now available on GitHub and open for community contributions. With developers in mind, this content is aimed at providing general information about machine learning, and uses Azure ML as the toolset. You'll find basic concepts such as theoretical and practical definitions of ML and common use case scenarios, as well as hands-on lab materials with step-by-step instructions on how to activate an Azure ML subscription, how to install the most popular local ML solution development environments and an introduction to R and Python. Find out more about Azure ML Hands-On Lab content on the Cortana Intelligence and Machine Learning Blog.

We are very happy to announce the availability of Azure ML Hands-On Lab content on GitHub and we are open for community contributions. Keeping developers in mind, this content is aimed at providing general information about ML, and uses Azure ML as the toolset. We have tried to make this content broadly accessible and do not assume any prior knowledge of these concepts. An initial presentation is provided with basic concepts including theoretical and practical definitions of ML and common use case scenarios. The rest of the content consists of hands-on lab materials with step-by-step instructions right from how to activate an Azure ML subscription.