"The Freakonomics of big data."
—Stein Kretsinger, founding executive of Advertising.com; former lead analyst at Capital One
This book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.
How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.
Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.
In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?
Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Eric Siegel, Ph.D. (San Francisco, CA; predictionimpact.com) is the founding conference chair of Predictive Analytics World and Text Analytics World, as well as the President of Prediction Impact, Inc., a company that provides analytics services to businesses. Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and the online version,Predictive Analytics Applied. He has published over 20 papers and articles in data mining research and computer science education and has served on 10 conference program committees.
TRANSLATED INTO 9 LANGUAGES USED IN COURSES AT MORE THAN 30 UNIVERSITIES
In this rich, fascinatingand surprisingly accessibleintroduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day.
Trendsetters like Chase, Facebook, Google, Hillary for America, HP, IBM, Match.com, Netflix, the NSA, Pfizer, Target, and Uber are seizing upon the power of big data to predict human behaviorincluding yours.
Why? Predictive analytics reinvents industries and runs the world. Read on to discover how it combats risk, boosts sales, fortifies healthcare, optimizes social networks, toughens crime fighting, and wins elections.
"What Nate Silver did for poker and politics, this does for everything else."
David Leinweber, author of Nerds on Wall Street
"The Freakonomics of big data."
Stein Kretsinger, founding executive, Advertising.com
"A deeply informative dive into a topic that is critical to virtually every sector of business today."
Geoffrey Moore, author of Crossing the Chasm
"Moneyball for business, government, and healthcare."
Jim Sterne, founder, eMetrics Summit
Learn more: www.ThePredictionBook.com
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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