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

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

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In this rich, entertaining primer, 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 are even aware of it themselves.
•Why early retirement decreases life expectancy and vegetarians miss fewer flights.
•Five reasons why organizations predict death, including one health insurance company.
•How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual.
•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 who stays in prison and who goes free.
•What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia.