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Machine Learning for Hackers Paperback – 25 Feb 2012

3.0 out of 5 stars 4 customer reviews

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Product details

  • Paperback: 324 pages
  • Publisher: O'Reilly Media; 1 edition (25 Feb. 2012)
  • Language: English
  • ISBN-10: 1449303714
  • ISBN-13: 978-1449303716
  • Product Dimensions: 17.8 x 1.9 x 23.3 cm
  • Average Customer Review: 3.0 out of 5 stars 4 customer reviews
  • Amazon Bestsellers Rank: 382,604 in Books (See Top 100 in Books)
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Product description

Book Description

Case Studies and Algorithms to Get You Started

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.


Customer reviews

Top customer reviews

4 June 2013
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Most helpful customer reviews on Amazon.com

Amazon.com: 2.9 out of 5 stars 30 reviews
54 people found this helpful.
3.0 out of 5 starsNot for a hacker, probably for a scientist
on 4 May 2012 - Published on Amazon.com
Format: Paperback
149 people found this helpful.
3.0 out of 5 starsMachine Learning for Non-Hackers
on 21 March 2012 - Published on Amazon.com
Format: Paperback|Verified Purchase
78 people found this helpful.
2.0 out of 5 starsErroneous but entertaining
on 26 July 2012 - Published on Amazon.com
Format: Paperback
2 people found this helpful.
2.0 out of 5 starsToo much r
on 23 November 2012 - Published on Amazon.com
Format: Kindle Edition|Verified Purchase
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