Data Science in the Cloud with Microsoft Azure Machine Learning and R
Released: February 2015
Azure ML, Microsoft’s Azure Machine Learning cloud platform, provides an easy-to-use and powerful set of cloud-based data transformation and machine-learning tools. With this O’Reilly report, you’ll learn the basics of manipulating data and constructing and evaluating models in Azure ML, illustrated by a complete data science example.
Author Stephen Elston from Quantia Analytics performs the required data manipulation throughout the report, and then constructs and evaluates a regression model for a bicycle-sharing-demand dataset. You can follow along by downloading the code and data provided. You’ll then learn how to publish your trained models as web services in the Azure cloud.
This report will show you how:
Stephen F. Elston, Managing Director of Quantia Analytics, LLC, is a big-data geek and data scientist, with over two decades of experience using R and S/SPLUS for predictive analytics and machine learning. He’s been developing, selling, and supporting analytics software for over two decades.