Machine Learning with R

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R’s machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

Author Biography

Brett Lantz has spent the past 10 years using innovative data methods to
understand human behavior. A sociologist by training, he was fi rst enchanted by
machine learning while studying a large database of teenagers’ social networking
website profi les. Since then, he has worked on interdisciplinary studies of cellular
telephone calls, medical billing data, and philanthropic activity, among others. When
he’s not spending time with family, following college sports, or being entertained by
his dachshunds, he maintains dataspelunking.com, a website dedicated to sharing
knowledge about the search for insight in data.