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InsideBigData has published a new Guide to Machine Learning, in collaboration with Revolution Analytics. As the name suggests, the Guide provides an overview of machine learning techniques, with a focus on implementation with the R language and (for big-data applications) Revolution R Enterprise. You can download the Guide here (email registration required), or for a quick overview of the contents check out the series of posts by Daniel Gutierrez on the topics covered in the Guide:

• About the insideBigData Guide to Machine Learning
• Introduction to Machine Learning
• R – the Data Scientist’s Choice and Data Access
• Data Munging, Exploratory Data Analysis, and Feature Engineering
• Supervised Machine Learning
• Unsupervised Machine Learning
• Production Deployment with R
• Production Deployment Environments for R

insideBigData: Guide to Machine Learning

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