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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, - GOOD
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
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eBay item number:255149943685
Item specifics
- Condition
- Brand
- Unbranded
- MPN
- Does not apply
- ISBN
- 9781118356852
- Book Title
- Predictive Analytics : the Power to Predict Who Will Click, Buy, Lie, or Die
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.3 in
- Publication Year
- 2013
- Format
- Hardcover
- Language
- English
- Illustrator
- Yes
- Item Height
- 1.1 in
- Genre
- Social Science, Psychology, Business & Economics
- Topic
- Future Studies, General, Econometrics, Forecasting
- Item Weight
- 19.2 Oz
- Item Width
- 6.2 in
- Number of Pages
- 320 Pages
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118356853
ISBN-13
9781118356852
eBay Product ID (ePID)
143640442
Product Key Features
Book Title
Predictive Analytics : the Power to Predict Who Will Click, Buy, Lie, or Die
Number of Pages
320 Pages
Language
English
Topic
Future Studies, General, Econometrics, Forecasting
Publication Year
2013
Illustrator
Yes
Genre
Social Science, Psychology, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
19.2 Oz
Item Length
9.3 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Trade
LCCN
2012-047252
Dewey Edition
23
Reviews
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
Dewey Decimal
303.49
Synopsis
Mesmerizing && fascinating. & The Seattle PostIntelligencer "The& Freakonomics & of big data. " Stein Kretsinger , founding executive of Advertising., "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 ., Praise for Predictive Analytics "What Nate Silver did for poker and politics, this does for everything else. A broad, wellwritten book easily accessible to nonnerd readers." DAVID LEINWEBER , author of Nerds on Wall Street: Math, Machines and Wired Markets "This book is an operating manual for twentyfirstcentury 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 , recordbreaking analytical Jeopardy! champion; CEO, Cotinga, "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 .
LC Classification Number
H61.4.S54 2013
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