"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer "The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com * Winner of the Nonfiction Book and Small Business Book Awards * * Used in courses at more than 30 universities * * Translated into 9 languages * An introduction for everyone. Rather than a "how to" for hands-on techies, this book -- now in its Revised and Updated edition -- serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. In this rich, fascinating -- surprisingly accessible -- introduction, 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 behavior--including yours. Why? Predictive analytics reinvents industries and runs the world. Read this book to discover how it combats risk, boosts sales, fortifies healthcare, optimizes social networks, toughens crime fighting, and wins elections.
Autorentext
ERIC SIEGEL, PhD, is the founder of Predictive Analytics World and executive editor of The Predictive Analytics Times. A former Columbia University professor, he is a renowned speaker, educator, and leader in the field.
Klappentext
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, 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
Zusammenfassung
"Mesmerizing & fascinating..." The Seattle Post-Intelligencer
"The Freakonomics of big data." Stein Kretsinger, founding executive of Advertising.com
Award-winning | Used by over 30 universities | Translated into 9 languages
An introduction for everyone. In this rich, fascinating surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a how to for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world's most potent, flourishing 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 (aka machine learning) 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 drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
In this lucid, captivating introduction now in its Revised and Updated edition former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
- What type of mortgage risk Chase Bank predicted before the recession.
- Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.
- Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.
- Five reasons why organizations predict death including one health insurance company.
- How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual.
- Why the NSA wants all your data: machine learning supercomputers to fight terrorism.
- How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!
- How companies ascertain untold, private truths how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.
- How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.
- 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more.
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it or consumed by it get a handle on the power of Predictive Analytics.
Inhalt
Foreword Thomas H. Davenport xvii
Preface to the Revised and Updated Edition xxi
What's new and who's this book forthe Predictive Analytics FAQ
Preface to the Original Edition xxix
What is the occupational hazard of predictive analytics?
Introduction
The Prediction Effect 1
How does predicting human behavior combat risk, fortify healthcare,toughen crime fighting, boost sales, and cut costs? Why must a computer learn in order to predict? How can lousy predictions be extremely valuable?Whatmakes data exceptionally exciting?How is data science like porn?Whyshouldn't computers be called computers? Why do organizations predict when you will die?
Chapter 1 Liftoff! Prediction Takes Action (deployment) 23
How much guts does it take to deploy a predictive model into field operation, and what do you stand to gain?Whathappens when aman invests his entire life savings into his own predictive stock market trading system?
Chapter 2 With Power Comes Responsibility: Hewlett-Packard,Target, the Cops, and the NSA Deduce Your Secrets (ethics) 47
How do we safely harness a predictive machine that can foresee job resignation, pregnancy, and crime? Are civil liberties at risk? Why does one leading health insurance co…