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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Englisch) Gebundene Ausgabe – 8. März 2013


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Produktinformation

  • Gebundene Ausgabe: 320 Seiten
  • Verlag: John Wiley & Sons; Auflage: 1. Auflage (8. März 2013)
  • Sprache: Englisch
  • ISBN-10: 1118356853
  • ISBN-13: 978-1118356852
  • Größe und/oder Gewicht: 16 x 2,8 x 23,6 cm
  • Durchschnittliche Kundenbewertung: 3.5 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 5.462 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Pressestimmen

Praise for Predictive Analytics
 
"What Nate Silver did for poker and politics, this does for everything else. A broad, well-written book easily accessible to non-nerd readers."
--DAVID LEINWEBER, author of Nerds on Wall Street: Math, Machines and Wired Markets
 
"This book is an operating manual for twenty-first-century life. Drawing predictions from big data is at the heart of nearly everything, whether it's in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide."
--STEPHEN BAKER, author of The Numerati and Final Jeopardy: Man vs. Machine and the Quest to Know Everything
 
"Simultaneously entertaining, informative, and nuanced. Siegel goes behind the hype and makes the science exciting."
--RAYID GHANI, Chief Data Scientist, Obama for America 2012 Campaign
 
"This is Moneyball for business, government, and healthcare."
--JIM STERNE, founder, eMetrics Summit; chairman, Digital Analytics Association
 
"Predictive Analytics is not only a deeply informative dive into a topic that is critical to virtually every sector of business today, it is also a delight to read."
--GEOFFREY MOORE, author of Crossing the Chasm
 
"The future is right now--you're living in it. Read this book to gain understanding of where we are and where we're headed."
--ROGER CRAIG, record-breaking analytical Jeopardy! champion; CEO, Cotinga

Klappentext

You have been predicted-by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.
 
Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.
 
How? Prediction is powered by the world's most potent, booming 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-lifting a bit of the fog off our hazy view of tomorrow-means pay dirt.
 
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 behavior Chase Bank predicted
* 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
* How U.S. Bank and Obama's 2012 campaign calculated the way to most strongly influence each individual
* How IBM's Watson computer beat the human champs on TV's Jeopardy!
* 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 Citibank, Facebook, Ford, Google, IBM, the IRS, Match.com, Pfizer, and Wikipedia
 
A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. Whether you are a consumer of it-or consumed by it-get a handle on the power of Predictive Analytics.

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Format: Kindle Edition Verifizierter Kauf
A book by Eric Siegel that gives an introduction to Predictive Analytics and contains principles, ethics, terminology, industry-specific applications, stories and additional resources of Predictive Analytics. Eric Siegel is in the field of Predictive Analytics (and Data Mining) for at least a decade now, and carries attributes of a thought leader in his field. The cross-section stories give the book content a concrete tendency and make it accessible and relatable for virtually every reader. The numerous resources make it a start point for the Predictive Analytics fresher with higher ambitions. Start here if you are interested in Predictive Analytics!
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0 von 1 Kunden fanden die folgende Rezension hilfreich Von snowvirus am 20. September 2014
Format: Kindle Edition Verifizierter Kauf
Very hot topic. Siegel gives impressive and pertinent examples to make his point on predictive anayitics. Unfortunatly, he wastes countless pages rambling on distant personal memories.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 229 Rezensionen
41 von 49 Kunden fanden die folgende Rezension hilfreich
Online Data Converts to a Plethora of Predictions 18. Februar 2013
Von connywithay - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Title: Predictive Analytics - The Power to Predict Who Will Click, Buy, Lie or Die
Author: Eric Siegel
Publisher: John Wiley & Sons, Inc.
ISBN: 978-1-118-35685-2

With the astronomical mass of electronic data collected today, one may be wary of driving a GPS-tracked automobile, texting on a cellphone, purchasing grocery items with a credit card, posting on Facebook, anxiously blogging or clicking a mouse for information on Google. But to Eric Siegel, this collective and easily-available data is fascinating as he compiles, analyzes and predicts in his eye-opening book, "Predictive Analytics - The Power to Predict Who Will Click, Buy, Lie or Die."

In a little over three hundred pages in the hardbound book, Siegel breaks down predictive analytics (aka PA) into seven chapters with an afterword, appendices, notes, acknowledgement, author biography and index. The book is targeted from the small to large business owner, entrepreneurs, other PAers and us common folk who want to further understand how computerized data research is analyzed to predict specified outcomes and scenarios.

Cause and effect charts, illustrations along with a few comics and a glossy centerfold divulge cases of predictions in advertising, finance, healthcare, fraud, insurance, government, employment and personal venues. Some topics discussed explain ways to increase consumer buying, limit bank loan defaulting or paying off, anticipate employees quitting or clients dropping cellphone coverage along with collecting online blogs, social networking and risk information. Each chapter includes sections of "what's predicted" and "what's done about it" to show the correlation of PA and gathered data.

The author explains the art of predicting has five effects that include: a little prediction goes a long way, data is always predictive, induction is reasoning from detailed facts to general principles, ensembles compensate for limitations and persuasion can be predictable through outcomes. Using the predictive models of large corporations such as Target, Hewlett-Packard, Chase Bank, Netflix and Telenor along with John Elder's stock market techniques, Jeopardy!'s Watson computer, Kaggle's competitions, and Obama's second term presidential campaign, one learns the ins and outs of predicting through collecting and interpreting simple to complex data.

By entrusting computers to make decisions, privacy concerns are bought up, prejudices are determined and effects are manipulated when machine learning becomes the translated voice of data. Artificial intelligence can often limit overlearning, crowdsourcing and correlation pitfalls, but will it be able to always correctly interpret language, emotions and feelings of humans as it influences, persuades and molds us?

With even the book's title been subjected to analysis and written sometimes humorously of the writer's own experience of stolen identity and mockery of his geekness, it is an excellent source to any reader that sees computers overtaking and controlling our every move as we continue to be co-dependent on them as we happily benefit from increased information and understanding, attain higher profits and enjoy an easier lifestyle through such a conglomerate of PA data bytes. The only remaining question is how much PA will be gleaned from this book reviewer's post?
61 von 75 Kunden fanden die folgende Rezension hilfreich
Really Bad 18. Juli 2013
Von BENJAMIN B FORD - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I've never taken the time to write an Amazon review before, but felt compelled to warn others how useless this book is. I find it hard to believe that any of the several 4 and 5 star reviews posted here come from people who 1). Do not have some connection to the book or its author, and 2). Actually read it.

I'm an attorney for a large consulting company that does analytics work as part of our technology offerings. Because analytics is a growing part of the business I support, I was hoping to gain a better understanding of what predictive analytics is and how it works- not looking for any considerable detail, just wanted to be more conversant with the concepts. When I saw the book advertised in the Atlantic Monthly, it seemed like it would be worthwhile.

It isn't. The book is badly written, if it was "written" at all. It seems more likely that the author dictated the contents with the first things that popped into his mind. Inane pop cultural references with little to no relevance to the topics abound. Song lyrics, movie lines, TV show dialogue- pure filler to get the body of the book over 200 pages. If this book were handed in as a homework assignment, any professor worth his or her salt would recognize it as half-assed product of an Adderall fueled all-nighter and mark it with an F. I can't believe the author was once a professor at Columbia- what an embarrassment.
27 von 32 Kunden fanden die folgende Rezension hilfreich
Bringing Predictive Analytics to the masses 2. März 2013
Von Sujit Pal - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This book is aimed mostly at people who are interested in learning about where (as opposed to how) one can effectively use Predictive Analytics and related technologies such as Machine Learning and Natural Language Processing. There is some high level discussion of algorithms such as linear regression, decision trees, random forests and even a nice discussion about Watson's question answering algorithms. The book has many examples of where Predictive Analytics can and is being used. Some of these are relatively obscure, because companies prefer to make money off these techniques rather than talk about it (and dilute their competitive edge). The narrative is interesting and humorous, and the author shares many anecdotes from his own life, having lived through Predictive Analytics relatively short life-span. Finally, the bibliography/reference section lists URLs that will probably take you months to get through. All in all, a "popular" book aimed at people who are looking into learning about and/or adopting Predictive Analytics rather than established practitioners, but very useful and well written nevertheless.
24 von 30 Kunden fanden die folgende Rezension hilfreich
Good Stuff! 27. Februar 2013
Von jasonhoward7 - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I'm an IT guy. When I read and research I want solid concepts and clear explanations. This book has it all without missing a step. Even better, Siegel delivers his insight with humor and inventiveness. This book is jammed packed with real world applications for Predictive Analytics, told with a colorful, dramatic flair. Read it! Good Stuff!
12 von 14 Kunden fanden die folgende Rezension hilfreich
very interesting examples of applied PA 24. Juni 2013
Von Prz - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Interesting book for beginners and people curious about PA. The examples are explained in easy and understandable way without any technical jargon. I recommend this position as a start point for those who want to apply PA. Great introduction for further more technical readings.
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