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Friday, January 24, 2014

Big Data and Data Science Books - A Baker's Dozen

Here are 13 informative and inspirational books on Big Data and Data Science.  This is definitely not intended to be a comprehensive list (since a complete list of such readings would itself be a form of "Big Data", and consequently the number of possibilities is a nearly uncountable number!NOTE definition of "uncountable" = an infinite set that contains too many elements to be countable.)
  1. Big Data: A Revolution That Will Transform How We Live, Work, and T..., by Viktor Mayer-Schonberger and Kenneth Cukier
  2. The Signal and the Noise: Why So Many Predictions Fail-but Some Don't, by Nate Silver
  3. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie..., by Eric Siegel 
  4. The Human Face of Big Data, by Rick Smolan and Jennifer Erwitt
  5. The Black Swan: The Impact of the Highly Improbable, by Nassim Nicholas Taleb
  6. Competing on Analytics: The New Science of Winning, by Thomas H. Davenport and Jeanne G. Harris
  7. Super Crunchers: Why Thinking-by-Numbers is the New Way to Be Smart, by Ian Ayres
  8. Big Data Marketing: Engage Your Customers More Effectively and Driv..., by Lisa Arthur
  9. Journeys to Data Mining: Experiences from 15 Renowned Researchers, by Mohamed Medhat Gaber (editor)
  10. The Fourth Paradigm: Data-Intensive Scientific Discovery, by T.Hey, S.Tansley, and K.Tolle (editors)
  11. Seven Databases in Seven Weeks: A Guide to Modern Databases and the..., by Eric Redmond and Jim Wilson
  12. Data Mining And Predictive Analysis: Intelligence Gathering And Cri..., by Colleen McCue
And here are two more, as a bonus:
 14. A Statistical Guide for the Ethically Perplexed, by Lawrence Hubert and Howard Wainer

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