Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required

Lantz, Brett

ISBN 10: 1782162143 / ISBN 13: 9781782162148

Published by Packt Publishing, 2013

About this Item

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Seller Inventory # G1782162143I3N00

Bibliographic Details

• Title: Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required
• Publisher: Packt Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 1782162143
• ISBN 13: 9781782162148
• Binding: Paperback
• Condition: Good
• Dust Jacket Condition: No Jacket
• Weight: 1.78 pounds

About this title

Synopsis

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.

About the Author

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.