In Azure ML Studio , you use a browser-based "workbench" tool to flowdatathrough pre-built data munging,machine learning and predictive modeling modules. These pre-built components perform computations in the Azure cloud and cover just about everything you'd want to do with data, including data transformation tools (add/remove columns, split data), variable selection, statistical and machine learning functions (classification, clustering, regression), and even text analytics. For everything else, you can use a language modulethatallows you to pass the data stream through any R or python script, which gives you pretty much unlimited flexibility in how you handle the data. (If you're new to ML Studio, these videos will help you get started , including how to sign up for afree trial account.)
ML studio now gives you even more flexibility, with new language engines supported in the language modules . Within the Execute Python Script module, you can now choose to use Python 2.7.11 or Python 3.5, both of which run within the Acaconda 4.0 distribution. And within the Execute R Script module, you can now choose Microsoft R Open 3.2.2 as your R engine, in addition to the existing CRAN R 3.1.0 engine. Microsoft R Open 3.2.2 not only gives you a newer R language engine, it also gives you access to a wealth of new R packages for use within ML Studio. Over 400 packages are pre-installed for use with the R Script module, and you can install and use any other R package (including CRAN packages and your own R packages) via the Script Bundle input port .
The new Execute R Script and Execure Python Script modules are available in Azure ML Studio now. For more information on the new features, follow the link below.
Cortana Intelligence and Machine Learning Blog: Azure ML Now Supports Multiple R & Python Versions, Including Microsoft R Open & Python 3