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

Drew Conway, John Myles White




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 | #454268 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

||1 of 2 people found the following review helpful.| Learned something new|By Chris Weathers|I learned a little about the R language and how a lot of scientist of physicist use it the write functions to dynamically create graphs to analyze the data they compiled. It also encompasses a lot of the same math you learn in statistics classes which makes sense. I even ended up downloading an R language reference app from the Apple app|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. A good, fresh read, highly recommended.

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