Coverart for item
The Resource Predictive analytics : the power to predict who will click, buy, lie, or die, Eric Siegel

Predictive analytics : the power to predict who will click, buy, lie, or die, Eric Siegel

Label
Predictive analytics : the power to predict who will click, buy, lie, or die
Title
Predictive analytics
Title remainder
the power to predict who will click, buy, lie, or die
Statement of responsibility
Eric Siegel
Creator
Subject
Language
eng
Summary
"Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction. New material includes: - The Real Reason the NSA Wants Your Data: Automatic Suspect Discovery. A special sidebar in Chapter 2, "With Power Comes Responsibility," presumes--with much evidence--that the National Security Agency considers PA a strategic priority. Can the organization use PA without endangering civil liberties? - Dozens of new examples from Facebook, Hopper, Shell, Uber, UPS, the U.S. government, and more. The Central Tables' compendium of mini-case studies has grown to 182 entries, including breaking examples. - A much needed warning regarding bad science. Chapter 3, "The Data Effect," includes an in-depth section about an all-too-common pitfall, and how we avoid it, i.e., how to successfully tap data's potential without being fooled by random noise, ensuring sound discoveries are made. - Even more extensive Notes, updated and expanded to 70+ pages, now moved to an online PDF. Now located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics"--
Assigning source
Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorDate
1968-
http://library.link/vocab/creatorName
Siegel, Eric
Dewey number
303.49
Index
index present
LC call number
H61.4
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Social sciences
  • Economic forecasting
  • Prediction (Psychology)
  • Social prediction
  • Human behavior
  • BUSINESS & ECONOMICS
  • BUSINESS & ECONOMICS
  • BUSINESS & ECONOMICS
  • Economic forecasting
  • Human behavior
  • Prediction (Psychology)
  • Social prediction
Label
Predictive analytics : the power to predict who will click, buy, lie, or die, Eric Siegel
Instantiates
Publication
Note
  • Revised edition of the author's Predictive analytics, 2013
  • Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foreword / Thomas H Davenport -- Preface to the Revised and Updated Edition: What's new and who's this book for-the predictive analytics FAQ -- Preface to the Original Edition: What is the occupational hazard of predictive analytics? -- Introduction: Prediction effect -- Liftoff! prediction takes action (deployment) -- With power comes responsibility: Hewlett-Packard, Target, the Cops, and the NSA deduce your secrets (ethics) -- Data effect: a glut at the end of the rainbow (data) -- Machine that learns: a look inside Chase's prediction of mortgage risk (modeling) -- Ensemble effect: Netflix, crowdsourcing, and supercharging prediction (ensembles) -- Watson and the jeopardy! challenge (question answering) -- Persuasion by the numbers: how Telenor, US Bank, and the Obama Campaign engineered influence (uplift) -- Afterword: Eleven predictions for the first hour of 2022 -- Appendices: -- A: Five effects of prediction -- B: Twenty applications of predictive analytics -- C: Prediction people: cast of "characters" -- Hands-On Guide: Resources for further leaning -- Acknowledgments -- About the author -- Index
Control code
924684043
Edition
Revised and Updated edition.
Extent
1 online resource
Form of item
online
Isbn
9781119145677
Lccn
2015039877
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
c0e318e3-3943-49ae-9c59-22c347f03ad7
Specific material designation
remote
System control number
(OCoLC)924684043
Label
Predictive analytics : the power to predict who will click, buy, lie, or die, Eric Siegel
Publication
Note
  • Revised edition of the author's Predictive analytics, 2013
  • Includes index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Foreword / Thomas H Davenport -- Preface to the Revised and Updated Edition: What's new and who's this book for-the predictive analytics FAQ -- Preface to the Original Edition: What is the occupational hazard of predictive analytics? -- Introduction: Prediction effect -- Liftoff! prediction takes action (deployment) -- With power comes responsibility: Hewlett-Packard, Target, the Cops, and the NSA deduce your secrets (ethics) -- Data effect: a glut at the end of the rainbow (data) -- Machine that learns: a look inside Chase's prediction of mortgage risk (modeling) -- Ensemble effect: Netflix, crowdsourcing, and supercharging prediction (ensembles) -- Watson and the jeopardy! challenge (question answering) -- Persuasion by the numbers: how Telenor, US Bank, and the Obama Campaign engineered influence (uplift) -- Afterword: Eleven predictions for the first hour of 2022 -- Appendices: -- A: Five effects of prediction -- B: Twenty applications of predictive analytics -- C: Prediction people: cast of "characters" -- Hands-On Guide: Resources for further leaning -- Acknowledgments -- About the author -- Index
Control code
924684043
Edition
Revised and Updated edition.
Extent
1 online resource
Form of item
online
Isbn
9781119145677
Lccn
2015039877
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
c0e318e3-3943-49ae-9c59-22c347f03ad7
Specific material designation
remote
System control number
(OCoLC)924684043

Library Locations

    • Ellis LibraryBorrow it
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      38.946102 -92.330125
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