Predictive analytics : (Record no. 208662)

MARC details
000 -LEADER
fixed length control field 04014cam a2200409 i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119153658 (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119153654 (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119145684 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119145686 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119172536
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119172535
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119145678 (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119145677 (paperback)
040 ## - CATALOGING SOURCE
Transcribing agency CUS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Siegel, Eric,
245 10 - TITLE STATEMENT
Title Predictive analytics :
Sub title the power to predict who will click, buy, lie, or die /
Statement of responsibility, etc. Eric Siegel.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Revised and Updated Edition.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Hoboken :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2016.
300 ## - DESCRIPTION
Extent 1 online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
650 #0 - SUBJECT
Keyword Social sciences
650 #0 - SUBJECT
Keyword Economic forecasting.
650 #0 - SUBJECT
Keyword Prediction (Psychology)
650 #0 - SUBJECT
Keyword Social prediction.
650 #0 - SUBJECT
Keyword Human behavior.
650 #7 - SUBJECT
Keyword BUSINESS & ECONOMICS / Consumer Behavior.
650 #7 - SUBJECT
Keyword BUSINESS & ECONOMICS / Econometrics.
650 #7 - SUBJECT
Keyword BUSINESS & ECONOMICS / Marketing / General.
856 40 - ONLINE RESOURCES
url https://doi.org/10.1002/9781119172536
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Books
Holdings
Home library Current library Accession number Koha item type
Central Library, Sikkim University Central Library, Sikkim University E-2738 e-Books
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