ISBN:
9781119153658
,
1119153654
Language:
English
Pages:
1 online resource (1 volume)
,
illustrations
Edition:
Revised and updated.
Parallel Title:
Erscheint auch als
Keywords:
Social sciences ; Forecasting
;
Economic forecasting
;
Prediction (Psychology)
;
Social prediction
;
Human behavior
;
Electronic books
;
Electronic books ; local
Abstract:
"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 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 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 - and Hillary for America 2016 plans to calculate - the way to most ...
Note:
Revised edition of the author's Predictive analytics, 2013. - Includes bibliographical references and index. - Description based on print version record
URL:
https://learning.oreilly.com/library/view/-/9781119145677/?ar
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