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 Message Posté le: Lun 19 Juin - 11:53 (2017)    Sujet du message: Predictive Analytics: The Power To Predict Who Will Click,
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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
by Eric Siegel



->>>DOWNLOAD BOOK Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die



"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:
<ul> <li>What type of mortgage risk Chase Bank predicted before the recession.</li> <li>Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.</li> <li>Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.</li> <li>Five reasons why organizations predict death &#x2014; including one health insurance company.</li> <li>How U.S. Bank and Obama for America calculated &#x2014; and Hillary for America 2016 plans to calculate &#x2014; the way to most strongly persuade each individual.</li> <li>Why the NSA wants all your data: machine learning supercomputers to fight terrorism.</li> <li>How IBM's Watson computer used&#xa0;predictive modeling&#xa0;to answer questions and beat the human champs on TV's&#xa0;Jeopardy!</li> <li>How companies ascertain untold, private truths &#x2014; how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.</li> <li>How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.</li> <li>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.&#xa0;</li> </ul>
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







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Other editions - View allPredictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or DieEric SiegelLimited preview - 2016Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, Or DieEric SiegelLimited preview - 2016Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or DieEric SiegelLimited preview - 2013View all Jul 02, 2015 TIn Aung Lin rated it it was amazing Been through a journey and success stories of predictive models of some famous CorporationStanford 265,329 views 1:16:44 Predictive in 20 Minutes with IBM SPSS Modeler - Duration: 23:46Jul 29, 2014 Hourann Bosci rated it did not like it review of another edition The content is actually a good, high-level, non-technical overview of the field and the ways data can be used in business.But the writingPA is a much larger field than I had imaginedI appreciated him tackling the different types of predictive models from a high-level and laying it out in a way that is entirely digestible to someone at arm's lengthSign in 90 4 Don't like this video? Sign in to make your opinion count

Davenport, coauthor of Competing on AnalyticsAnyone interested in the world of analytics will find this fascinating.more flag 1 likeLike see review LinkedInTechTalks 35,886 views 1:14:49 Advanced Analytics and Business Intelligence - Duration: 29:31Aug 14, 2013 Frank Doosey rated it really liked it Having taken (and taught) persuasion courses in college, it was very interesting to see how far the field has come and how openly it has embraced technologyflag 1 likeLike see review Aug 04, 2013 Paul DeBusschere rated it it was ok This book is extremely introductory, which accounts for Siegel's 50,000-foot view of the topicDerek Kane 110,324 views 1:52:19 Using Multiple Regression in Excel for Predictive Analysis - Duration: 9:18Why? 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

flag 1 likeLike see review This book is less 'how to' than an attempt to explain what it is, and how it can work for you, with the latter point venturing a bit too close to hucksterism at times (hey, it is Siegel's field)Because it was part of the established practice of science, the scientific study done by Gilbert and Karahalios of stock market and blog post anxiety measures received criticism until it found a way to establish causation, or predictive directionAs Siegel himself says, PAs mission is to engineer solutions, and Whatever works.more flag 1 likeLike see review 79c7fb41ad



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