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Machine Learning for Hackers: Case Studies and Algorithms to Get You Started 1st Edition

3.8 out of 5 stars 56 ratings

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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. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities.



John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.

Product details

  • Publisher ‏ : ‎ O'Reilly; 1st edition (March 6, 2012)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 324 pages
  • ISBN-10 ‏ : ‎ 1449303714
  • ISBN-13 ‏ : ‎ 978-1449303716
  • Item Weight ‏ : ‎ 1.14 pounds
  • Dimensions ‏ : ‎ 7 x 0.75 x 9.19 inches
  • Customer Reviews:
    3.8 out of 5 stars 56 ratings

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3.8 out of 5 stars
3.8 out of 5
56 global ratings

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Top reviews from other countries

Mr. A. J. Gould
2.0 out of 5 stars Data science not machine learning
Reviewed in the United Kingdom 🇬🇧 on June 4, 2013
11 people found this helpful
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Carlo
5.0 out of 5 stars Esauriente
Reviewed in Italy 🇮🇹 on May 3, 2017
Kosako2007
5.0 out of 5 stars Genial introducción al mundo del Machine Learning
Reviewed in Spain 🇪🇸 on February 23, 2013
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Sai Sampath
5.0 out of 5 stars The book is real good but I wouldn't prefer it if you are new ...
Reviewed in India 🇮🇳 on December 13, 2017
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Martin Castillo Cabrera
5.0 out of 5 stars Temas acordes
Reviewed in Mexico 🇲🇽 on April 13, 2019