Machine Learning for Hackers: Case Studies and Algorithms to Get You Started
Conway, Drew; White, John Myles
ISBN 10: 1449303714 ISBN 13: 9781449303716
Published by O'Reilly Media, 2012
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About this Item
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Synopsis:
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 machine learning, such as classification, prediction, optimization, and recommendation. Using the...
About the Authors:
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.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Machine Learning for Hackers: Case Studies ...
Publisher: O'Reilly Media
Publication Date: 2012
Binding: Paperback
Condition: Good
Dust Jacket Condition: No Jacket
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Machine Learning for Hackers : Case Studies and Algorithms to Get You Started
Published by
O'Reilly Media, Incorporated, 2012
ISBN 10: 1449303714
ISBN 13: 9781449303716
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Machine Learning for Hackers Case Studies and Algorithms to Get You Started
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ISBN 10: 1449303714
ISBN 13: 9781449303716
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