Looking for a gift?
 Browse Holiday Gift Guides »

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


Order now to get it by: Saturday January 14 - Monday January 16

LIMITED TRACKING

This product ships with limited tracking information, and may take longer than usual to be delivered.

Condition: New

Product ID: 321186

Delivery Information |Returns & Exchanges |Payment Methods

Description

“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
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.
* 183 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.

more...

Bestsellers in Econometrics