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

Conway, Drew

ISBN 10: 1449303714 / ISBN 13: 9781449303716

Published by O'Reilly, 2012

Special order direct from the distributor. Seller Inventory # ING9781449303716

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...

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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.

Bibliographic Details

Title: Machine Learning for Hackers: Case Studies ...
Publisher: O'Reilly
Publication Date: 2012
Binding: Paperback
Condition: New
Edition: 1st.