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Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Drew Conway, John Myles White




[PDF.vx26] Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

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 | #668137 in Books |  O Reilly Media |  2012-02-25 |  2012-02-25 | Original language:English | PDF # 1 |  9.19 x.75 x7.00l,1.14 | File type: PDF | 324 pages

 | O Reilly Media

||148 of 158 people found the following review helpful.| Machine Learning for Non-Hackers|By Voracious Reader|By page count, this is primarily a book on R, with some additional time spent on machine learning.

There is way too much time spent on R, dedicated to such things as parsing email messages, and spidering webpages, etc. These are things that no-one with other tools available would do in R. And it's not that it's|About the Author|
|Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena

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.

Each chapter focuses on a specific problem in...

You easily download any file type for your device.Machine Learning for Hackers: Case Studies and Algorithms to Get You Started   |  Drew Conway, John Myles White. Just read it with an open mind because none of us really know.

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