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Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking Paperback – 16 Aug 2013

5.0 out of 5 stars 1 customer review
ISBN-13: 978-1449361327 ISBN-10: 9781449361327 Edition: 1st

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About the Author

Foster Provost is Professor and NEC Faculty Fellow at the NYU Stern School of Business, where he teaches in the MBA, Business Analytics, and Data Science programs. Former Editor-in-Chief for the journal Machine Learning, Professor Provost has co-founded several successful companies focusing on data science for marketing.

Tom Fawcett holds a Ph.D. in machine learning and has worked in industry R&D for more than two decades for companies such as GTE Laboratories, NYNEX/Verizon Labs, and HP Labs. His published work has become standard reading in data science both on methodology (evaluating data mining results) and on applications (fraud detection and spam filtering).


From the Publisher

Data Science for Business What You Need to Know about Data Mining and Data-Analytic Thinking Data Science from Scratch First Principles with Python Doing Data Science Straight Talk from the Frontline R for Data Science Visualize, Model, Transform, Tidy, and Import Data Data Science at the Command Line Facing the Future with Time-Tested Tools Python Data Science Handbook Tools and Techniques for Developers
Data Science for Business Data Science from Scratch Doing Data Science R for Data Science Data Science at the Command Line Python Data Science Handbook
What You Need to Know about Data Mining and Data-Analytic Thinking First Principles with Python Straight Talk from the Frontline Visualize, Model, Transform, Tidy, and Import Data Facing the Future with Time-Tested Tools Tools and Techniques for Developers
Pages 414 330 408 250 212 500

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7 March 2018
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Amazon.com: 4.4 out of 5 stars 199 reviews
William P Ross
5.0 out of 5 starsExcellent Introductory Summary Of Data Science
4 October 2016 - Published on Amazon.com
Format: PaperbackVerified Purchase
32 people found this helpful
Amazon Customer
5.0 out of 5 starsI thought this would be an easy argument to make during the interview process
5 February 2016 - Published on Amazon.com
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48 people found this helpful
James Benton Lackey III
2.0 out of 5 starsInstead it has some businessy sounding bits and the start and end which feel like an afterthought
11 March 2015 - Published on Amazon.com
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54 people found this helpful
Irene P
2.0 out of 5 starsGood as supplementary material, not helpful as primary text.
21 March 2018 - Published on Amazon.com
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4 people found this helpful
amazoner
5.0 out of 5 starsThe perfect balance
10 August 2013 - Published on Amazon.com
295 people found this helpful