
Predictive Analytics
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions



Person
Content
- Intro
- Praise for Predictive Analytics
- Title Page
- Copyright
- Dedication
- Foreword Thomas H. Davenport
- Preface to the Revised and Updated Edition
- Frequently Asked Questions about Predictive Analytics
- Preface to the Original Edition
- Introduction: The Prediction Effect
- Prediction in Big Business-The Destiny of Assets
- Introducing.the Clairvoyant Computer
- "Feed Me!"-Food for Thought for the Machine
- I Knew You Were Going to Do That
- The Limits and Potential of Prediction
- The Field of Dreams
- Organizational Learning
- The New Super Geek: Data Scientists
- The Art of Learning
- Chapter 1: Liftoff! Prediction Takes Action
- Going Live
- A Faulty Oracle Everyone Loves
- Predictive Protection
- A Silent Revolution Worth a Million
- The Perils of Personalization
- Deployment's Detours and Delays
- In Flight
- Elementary, My Dear: The Power of Observation
- To Act Is to Decide
- A Perilous Launch
- Houston, We Have a Problem
- The Little Model That Could
- Houston, We Have Liftoff
- A Passionate Scientist
- Launching Prediction into Inner Space
- Chapter 2: With Power Comes Responsibility: Hewlett-Packard, Target, the Cops, and the NSA Deduce Your Secrets
- The Prediction of Target and the Target of Prediction
- A Pregnant Pause
- My 15 Minutes
- Thrust into the Limelight
- You Can't Imprison Something That Can Teleport
- Law and Order: Policies and Policing of Data
- The Battle over Data
- Data Mining Does Not Drill Down
- HP Learns about Itself
- Insight or Intrusion?
- Flight Risk: I Quit!
- Insights: The Factors behind Quitting
- Delivering Dynamite
- The Value Gained from Flight Risk
- Predicting Crime to Stop It Before It Happens
- The Data of Crime and the Crime of Data
- Machine Risk without Measure
- The Cyclicity of Prejudice
- Good Prediction, Bad Prediction
- The Source of Power
- Chapter 3: The Data Effect: A Glut at the End of the Rainbow
- A Cautionary Tale: Orange Lemons
- The Source: Otherwise Boring Logs Fuel Prediction
- Social Media and Mass Public Mood
- Recycling the Data Dump
- The Instrumentation of Everything We Do
- Batten Down the Hatches: TMI
- Who's Your Data?
- The Data Effect: It's Predictive
- The Building Blocks: Predictors
- Far Out, Bizarre, and Surprising Insights
- Caveat #1: Correlation Does Not Imply Causation
- Caveat #2: Securing Sound Discoveries
- What Went Wrong: Accumulating Risk
- The Potential and Danger of Automating Science: Vast Search
- A Failsafe for Sound Results
- A Prevalent Mistake
- Putting All the Predictors Together
- Chapter 4: The Machine That Learns: A Look inside Chase's Prediction of Mortgage Risk
- Boy Meets Bank
- Bank Faces Risk
- Prediction Battles Risk
- Risky Business
- The Learning Machine
- Building the Learning Machine
- Learning from Bad Experiences
- How Machine Learning Works
- Decision Trees Grow on You
- Computer, Program Thyself
- Learn Baby Learn
- Bigger Is Better
- Overlearning: Assuming Too Much
- The Conundrum of Induction
- The Art and Science of Machine Learning
- Feeling Validated: Test Data
- Carving out a Work of Art
- Putting Decision Trees to Work for Chase
- Money Grows on Trees
- The Recession-Why Microscopes Can't Detect Asteroid Collisions
- After Math
- Chapter 5: The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction
- Casual Rocket Scientists
- Dark Horses
- Mindsourced: Wealth in Diversity
- Crowdsourcing Gone Wild
- Your Adversary Is Your Amigo
- United Nations
- Meta-Learning
- A Big Fish at the Big Finish
- Collective Intelligence
- The Wisdom of Crowds.of Models
- A Bag of Models
- Ensemble Models in Action
- The Generalization Paradox: More Is Less
- The Sky's the Limit
- Chapter 6: Watson and the Jeopardy! Challenge
- Text Analytics
- Our Mother Tongue's Trials and Tribulations
- Once You Understand the Question, Answer It
- The Ultimate Knowledge Source
- Artificial Impossibility
- Learning to Answer Questions
- Walk Like a Man, Talk Like a Man
- Putting on the Pressure
- The Answering Machine
- Moneyballing Jeopardy!
- Amassing Evidence for an Answer
- Elementary, My Dear Watson
- Mounting Evidence
- Weighing Evidence with Ensemble Models
- An Ensemble of Ensembles
- Machine Learning Achieves the Potential of Natural Language Processing
- Confidence without Overconfidence
- The Need for Speed
- Double Jeopardy!-Would Watson Win?
- Jeopardy! Jitters: Deploying a Prototype
- For the Win
- After Match: Honor, Accolades, and Awe
- Iambic IBM AI
- Predict the Right Thing
- Chapter 7: Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence
- Churn Baby Churn
- Sleeping Dogs
- A New Thing to Predict
- Eye Can't See It
- Perceiving Persuasion
- Persuasive Choices
- Business Stimulus and Business Response
- The Quantum Human
- Predicting Influence with Uplift Modeling
- Banking on Influence
- Predicting the Wrong Thing
- Response Uplift Modeling
- The Mechanics of Uplift Modeling
- How Uplift Modeling Works
- The Persuasion Effect
- Influence across Industries
- Immobilizing Mobile Customers
- Afterword: Eleven Predictions for the First Hour of 2022
- Tomorrow's Just a Day Away
- The Future of Prediction
- Appendices
- Appendix A: The Five Effects of Prediction
- Appendix B: Twenty Applications of Predictive Analytics
- Appendix C: Prediction People-Cast of "Characters"
- Hands-On Guide: Resources for Further Learning
- Acknowledgments
- About the Author
- 182 Examples of Predictive Analytics: A Cross-Industry Compendium of Mini-Case Studies
- Index
- End User License Agreement
Praise for Predictive Analytics
"Littered with lively examples."
-The Financial Times
"Readers will find this a mesmerizing and fascinating study. I know I did!.I was entranced by the book."
-The Seattle Post-Intelligencer
"Siegel is a capable and passionate spokesman with a compelling vision."
-Analytics Magazine
"A must-read for the normal layperson."
-Journal of Marketing Analytics
"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, The Numerati and Final Jeopardy: The Story of Watson, the Computer That Will Transform Our World
"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
"The most readable (for we laymen) 'big data' book I've come across. By far. Great vignettes/stories."
-Tom Peters, coauthor, In Search of Excellence
"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; Data Scientist, Digital Reasoning
"A clear and compelling explanation of the power of predictive analytics and how it can transform companies and even industries."
-Anthony Goldbloom, founder and CEO, Kaggle.com
"The definitive book of this industry has arrived. Dr. Siegel has achieved what few have even attempted: an accessible, captivating tome on predictive analytics that is a must-read for all interested in its potential-and peril."
-Mark Berry, VP, People Insights, ConAgra Foods
"I've always been a passionate data geek, but I never thought it might be possible to convey the excitement of data mining to a lay audience. That is what Eric Siegel does in this book. The stories range from inspiring to downright scary-read them and find out what we've been up to while you weren't paying attention."
-Michael J. A. Berry, author of Data Mining Techniques, Third Edition
"Eric Siegel is the Kevin Bacon of the predictive analytics world, organizing conferences where insiders trade knowledge and share recipes. Now, he has thrown the doors open for you. Step in and explore how data scientists are rewriting the rules of business."
-Kaiser Fung, VP, Vimeo; author of Numbers Rule Your World
"Written in a lively language, full of great quotes, real-world examples, and case studies, it is a pleasure to read. The more technical audience will enjoy chapters on The Ensemble Effect and uplift modeling-both very hot trends. I highly recommend this book!"
-Gregory Piatetsky-Shapiro, Editor, KDnuggets; founder, KDD Conferences
"Exciting and engaging-reads like a thriller! Predictive analytics has its roots in people's daily activities and, if successful, affects people's actions. By way of examples, Siegel describes both the opportunities and the threats predictive analytics brings to the real world."
-Marianna Dizik, Statistician, Google
"A fascinating page-turner about the most important new form of information technology."
-Emiliano Pasqualetti, CEO, DomainsBot Inc.
"Succeeds where others have failed-by demystifying big data and providing real-world examples of how organizations are leveraging the power of predictive analytics to drive measurable change."
-Jon Francis, Senior Data Scientist, Nike
"In a fascinating series of examples, Siegel shows how companies have made money predicting what customers will do. Once you start reading, you will not be able to put it down."
-Arthur Middleton Hughes, VP, Database Marketing Institute; author of Strategic Database Marketing, Fourth Edition
"Excellent. Each chapter makes the complex comprehensible, making heavy use of graphics to give depth and clarity. It gets you thinking about what else might be done with predictive analytics."
-Edward Nazarko, Client Technical Advisor, IBM
"What is predictive analytics? This book gives a practical and up-to-date answer, adding new dimension to the topic and serving as an excellent reference."
-Ramendra K. Sahoo, Senior VP, Risk Management and Analytics, Citibank
"Competing on information is no longer a luxury-it's a matter of survival. Despite its successes, predictive analytics has penetrated only so far, relative to its potential. As a result, lessons and case studies such as those provided in Siegel's book are in great demand."
-Boris Evelson, VP and Principal Analyst, Forrester Research
"Fascinating and beautifully conveyed. Siegel is a leading thought leader in the space-a must-have for your bookshelf!"
-Sameer Chopra, Chief Analytics Officer, Orbitz Worldwide
"A brilliant overview-strongly recommended to everyone curious about the analytics field and its impact on our modern lives."
-Kerem Tomak, VP of Marketing Analytics, Macys.com
"Eric explains the science behind predictive analytics, covering both the advantages and the limitations of prediction. A must-read for everyone!"
-Azhar Iqbal, VP and Econometrician, Wells Fargo Securities, LLC
"Predictive Analytics delivers a ton of great examples across business sectors of how companies extract actionable, impactful insights from data. Both the novice and the expert will find interest and learn something new."
-Chris Pouliot, Director, Algorithms and Analytics, Netflix
"In this new world of big data, machine learning, and data scientists, Eric Siegel brings deep understanding to deep analytics."
-Marc Parrish, VP, Membership, Barnes & Noble
"A detailed outline for how we might tame the world's unpredictability. Eric advocates quite clearly how some choices are predictably more profitable than others-and I agree!"
-Dennis R. Mortensen, CEO of Visual Revenue, former Director of Data Insights at Yahoo!
"This book is an invaluable contribution to predictive analytics. Eric's explanation of how to anticipate future events is thought provoking and a great read for everyone."
-Jean Paul Isson, Global VP Business Intelligence and Predictive Analytics, Monster Worldwide; coauthor, Win with Advanced Business Analytics: Creating Business Value from Your Data
"Predictive analytics is the key to unlocking new value at a previously unimaginable economic scale. In this book, Siegel explains how, doing an excellent job to bridge theory and practice."
-Sergo Grigalashvili, VP of Information Technology, Crawford & Company
"Predictive analytics has been steeped in fear of the unknown. Eric Siegel distinctively clarifies, removing the mystery and exposing its many benefits."
-Jane Kuberski, Engineering and Analytics, Nationwide Insurance
"As predictive analytics moves from fashionable to mainstream, Siegel removes the complexity and shows its power."
-Rajeeve Kaul, Senior VP, OfficeMax
"Dr. Siegel humanizes predictive analytics. He blends analytical rigor with real-life examples with an ease that is remarkable in his field. The book is informative, fun, and easy to understand. I finished reading it in one sitting. A must-read.not just for data scientists!"
-Madhu Iyer, Marketing Statistician, Intuit
"An engaging encyclopedia filled with real-world applications that should motivate anyone still sitting on the sidelines to jump into predictive analytics with both feet."
-Jared Waxman, Web Marketer at LegalZoom, previously at Adobe, Amazon, and Intuit
"Siegel covers predictive analytics from start to finish, bringing it to life and leaving you wanting more."
-Brian Seeley, Manager, Risk Analytics, Paychex, Inc.
"A wonderful look into the world of predictive analytics from the perspective of a true practitioner."
-Shawn Hushman, VP, Analytic Insights, Kelley Blue Book
"A must-Predictive Analytics provides an amazing view of the analytical models that predict and influence our lives on a daily basis. Siegel makes it a breeze to understand, for all readers."
-Zhou Yu, Online-to-Store Analyst, Google
"As our ability to collect and analyze information improves, experts like Eric Siegel are...
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.