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Machine Learning for Hackers

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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.


On May 13 Peter Georgeson wrote:
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Rating: StarStarStarStarStar4.0

On May 11 Daniele Di Donato wrote:
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Rating: StarStarStarStarStar4.0

On May 7 David Witherspoon wrote: Introduction to Machine Learning using R
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  >

Rating: StarStarStarStarStar4.0

On May 3 Sharon Talbot wrote: Not for a hacker.
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  >

Rating: StarStarStarStarStar3.0

On May 3 M Sheik Uduman Ali wrote: Developer Review – Machine Learning, Drew & John, O’Reilly
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  >

Rating: StarStarStarStarStar5.0

On Apr 17 Daniel Molnar wrote:
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Rating: StarStarStarStarStar5.0

On Mar 25 Diego Gonzalez wrote:
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Rating: StarStarStarStarStar5.0

On Mar 24 Kiatikun Luangkesorn wrote:
I've been taught that in learning a programming language, it is often beneficial to have two books for reference (other than tutorials), one that is a proper reference (i.e. how to do something), and one a morality reference, how you should approach doing something. In data analysis, you should know the theory/methodology and how to use the tools at hand to apply the methodology, but also how to think about problems. And short of an apprenticeship with a master, MLfH does very well in this. Full Review  >

Rating: StarStarStarStarStar5.0

On Mar 11 Steven Jenkins wrote:
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Rating: StarStarStarStarStar5.0

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