Media praise for Machine Learning for Hackers

"I recommend it to any programmer who needs to generate predictions or classifications from data -- using R and learning more about the statistical techniques behind the methods will help you to create better data hacking applications in the long run."
-- David Smith, Revolution Analytics

"If you’re looking for a hands-on introduction to machine learning, maybe as a prelude to or complement to a more theoretical text, you’ll enjoy this book."
-- John D. Cook, The Endeavour

"I recommend this book to anyone with interest in machine learning with a statistics background."
-- Nilesh Thatte, BCS, MBCS

"If you’re looking for a very solid, well written, overview of machine learning in R, Machine Learning for Hackers is a great starting point, as long as you’re willing to read around the subject (the recommended texts and books cited list works well)."
-- Jonathan Hammler, Compsoc -- Durham University Computing Society

"If you are looking for a book that demonstrates machine learning concepts using the R language, then this is the book for you. Drew and John have written an excellent book on presenting machine learning concepts like classification, clustering, recommendation, network graphs, and SVMs to name a few. The authors do a great job of presenting how to apply these machine learning algorithms and explain the general concepts of the algorithms, which is the focus of the book. If you are looking for a book that provides an in depth coverage of machine learning algorithms, then this is not the book for you. In addition, the authors do provide some explanation of the R scripting language that they use throughout the book to apply the machine learning algorithms to different data sets." Full Review >
-- David Witherspoon, davidwitherspoon.wordpress.com

"In Machine Learning for Hackers by Drew Conway and John Myles White, the reader is introduced to a number of techniques useful for creating systems that can understand and make use of data. While the book has solid topical material and is written in a fluid and easy to read manner, I don't feel that this book is really for hackers, unless the definition of hacker is vastly different from "programmer"." Full Review >
-- Sharon Talbot, miceplans.net

"Introduction It is very interesting to read a hard core computing book from authors those are not in the computing industry.  Their area of studies really make them as right choice for writing this book.  Drew Conway studies international relations, conflicts and terrorism using tools of mathematics, statistics and computer science.… " Full Review >
-- M Sheik Uduman Ali, udooz.net/blog