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 |