Description: Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the era of "big data" and "data science." Given the growing prominence of R - a cross-platform, zero-cost statistical programming environment - there has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from data. This book explores machine learning with R using clear and practical examples. -- Adapted from publisher's description.
Brief description: Brett Lantz (DataSpelunking) has spent more than 10 years using innovative data methods to understand human behavior. A sociologist by training, Brett was first captivated by machine learning during research on a large database of teenagers' social network profiles. Brett is a DataCamp instructor and a frequent speaker at machine learning conferences and workshops around the world. He is known to geek out about data science applications for sports, autonomous vehicles, foreign language learning, and fashion, among many other subjects, and hopes to one day blog about these subjects at Data Spelunking, a website dedicated to sharing knowledge about the search for insight in data.