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Loading... Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (edition 2013)by Eric Siegel, Thomas H. Davenport (Foreword)
Work InformationPredictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel
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Sign up for LibraryThing to find out whether you'll like this book. No current Talk conversations about this book. Just wanted to re-use this - I'm being predicted every day and now I know how! We obviously knowing that Big Data is everywhere - analyzing our behavior in order to determine our future behavior and therefore accurately select which advertisements to send us! This book organizes analytics methods as complementary practice areas - showing how to select amongst them for your personal objectives at the end! A pretty nice “Modus Operandi” for several decades … Thanks again to Eric for writing this book around subjects that anyone can understand and for sure learn for rehearsal as needed … March, 4 - 2013 no reviews | add a review
"Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction. New material includes: - The Real Reason the NSA Wants Your Data: Automatic Suspect Discovery. A special sidebar in Chapter 2, "With Power Comes Responsibility," presumes--with much evidence--that the National Security Agency considers PA a strategic priority. Can the organization use PA without endangering civil liberties? - Dozens of new examples from Facebook, Hopper, Shell, Uber, UPS, the U.S. government, and more. The Central Tables' compendium of mini-case studies has grown to 182 entries, including breaking examples. - A much needed warning regarding bad science. Chapter 3, "The Data Effect," includes an in-depth section about an all-too-common pitfall, and how we avoid it, i.e., how to successfully tap data's potential without being fooled by random noise, ensuring sound discoveries are made. - Even more extensive Notes, updated and expanded to 70+ pages, now moved to an online PDF. Now located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics"-- No library descriptions found. |
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Google Books — Loading... GenresMelvil Decimal System (DDC)303.49Social sciences Social Sciences; Sociology and anthropology Social Processes Social change Social forecastsLC ClassificationRatingAverage:
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Written in a straightforward style. Example driven text makes it ideal for later reference. Coverage feels objective and fact based, rather than conjecture based. Buy if your even remotely connected to data analysis. ( )