Data Scientists' Guide to Azure Machine Learning Studio

The way I did it was that I tried to read all the [online documentation][doc link] and work with the examples as described there. While doing this I encountered many questions and asked around about them. In this process I felt the need of a tutorial for someone with background like mine. In this tutorial, I try to cover the things I found most relevant from my own experience, some of which are explained by the Azure Machine Learning Studio documentation and others are not. The purpose is to help you grasp the core elements of using Azure Machine Learning Studio in about 3-4 hours: managing workspace, fitting models, evaluating models, setting up web service, consuming web service, and running R scripts.