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Machine Learning for Hackers
Publisher: O'Reilly Media, Inc.
Pub. Date: February 15, 2012
Print ISBN-13: 978-1-4493-0371-6
Pages in Print Edition: 324
Subscriber Rating:
[1 Rating] Subscriber Reviews
Overview
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.
Subscriber Reviews
Average Rating: 
Based on 1 Rating
"Excellent Intro To Both Machine Learning and R" - by Anonymous on 26-JUL-2012
Reviewer Rating:
Tried to get through a couple of R reference books in the past but never made it past first chapter. I didn't want to learn R, I wanted to use R!
The book's example-driven introduction to machine learning was exactly what I needed. Enough of an R reference to allow you to start applying the concepts immediately.
Highly recommended.
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Information Technology & Software Development
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Information Technology & Software Development > Software Engineering & Development
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