Elston S.F. Data Science in the Cloud: with Microsoft Azure Machine Learning and R

O’Reilly Media, 2015. — 65 p. — (Compliments of Microsoft). — ISBN: 9781491919590Recently, Microsoft launched the Azure Machine Learning cloud platform — Azure ML. Azure ML provides an easy-to-use and powerful set of cloud-based data transformation and machine learning tools. This report covers the basics of manipulating data, as well as constructing and evaluating models in Azure ML, illustrated with a data science example.Overview of Azure ML
A Regression Example
Improving the Model and Transformations
Another Azure ML Model
Using an R Model in Azure ML
Some Possible Next Steps
Publishing a Model as a Web ServiceThe dataset and R code used in this tutorial are availableAbout Stephen F. Elston
Stephen F. Elston, Managing Director of Quantia Analytics, LLC is a big data geek and data scientist, with over two decades of experience with predictive analytics, machine learning, and R and S/SPLUS. He leads architecture, development, sales and support for predictive analytics and machine learning solutions. Steve holds a PhD degree in Geophysics from Princeton University. Formerly, he led R&D for the S-PLUS companies and is a cofounder of FinAnalytica, Inc.