Predictive Analytics The Power to Predict Who Will Click, Buy, Lie, or Die

Name: Predictive Analytics The Power to Predict Who Will Click, Buy, Lie, or Die
Price: 2.82 USD
Availability: InStock
ISBN: 9781118356852

ISBN-10: 1118356853

ISBN-13: 9781118356852

Edition: 2013

Authors: Eric Siegel, Thomas H. Davenport

List price: $28.00

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Description:

Predictive analytics uses statistical techniques to analyze current and historical facts to make predictions about future events. In business, analytics use patterns found in data to identify risks and opportunities and the results are then used to help businesses make informed and beneficial decisions. Predictive analytics is used in a variety of business fields, including, finance, insurance, telecommunications, retail, and healthcare.The Prediction Effect is a functional, practical book that helps readers gain maximal value from predictive analytics as well as learn what is fascinating about the core technology and how it works. The book will deliver a palatable serving of substance…

Book details

List price: $28.00
Copyright year: 2013
Publisher: John Wiley & Sons, Incorporated
Publication date: 2/19/2013
Binding: Hardcover
Pages: 320
Size: 6.25" wide x 9.25" long x 1.25" tall
Weight: 1.166
Language: English



Foreword



Preface: What is the occupational hazard of predictive analytics?


Introduction: The Prediction Effect



Liftoff! Prediction Takes Action (deployment)



With Power Comes Responsibility: Hewlett-Packard, Target, and the Police Deduce Your Secrets (ethics)



The Data Effect: A Glut at the End of the Rainbow (data)



The Machine That Learns: A Look Inside Chase's Prediction of Mortgage Risk (modeling)



The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles)



Watson and the Jeopardy! Challenge (question answering)



Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift)


Afterword: Ten Predictions for the First Hour of 2020


Appendices



Five Effects of Prediction



Twenty-One Applications of Predictive Analytics



Prediction People-Cast of "Characters"


Notes


Acknowledgments


About the Author


Index