Machine Learning with R
Oct 2013 · Packt Publishing Ltd
3.8star
16 reviewsreport
Ebook
396
Pages
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About this ebook
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.
Ratings and reviews
3.8
16 reviews
A Google user
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September 10, 2014
Hands-on approach, understanding different algorithms and their strengths and weaknesses can be easily developed. One problem: Pages 196 through 212 are unreadable for me. Will change my rating after a fix.
4 people found this review helpful
Philips Mooman
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March 2, 2022
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About the author
Brett Lantz has spent the past 10 years using innovative data methods to understand human behavior. A sociologist by training, he was first enchanted by machine learning while studying a large database of teenagers' social networking website profiles. 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.
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