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.
About this item
Full title
Author / Creator
Publisher
Hoboken, New Jersey : Wiley, [2016]
Call Numbers
G 2016/11
Record Identifier
MMS ID
Language
English
Formats
Physical Description
Physical content
xxxi, 332 pages, 20 unnumbered pages of plates ; 23 cm.
Content type
text
Media type
unmediated
Carrier type
volume
Contents
Machine generated contents note: Foreword Thomas H. Davenport xiii 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 xv What is the occupational hazard of predictive analytics? Introduction The Prediction Eff...
Publication information
Publisher
Hoboken, New Jersey : Wiley, [2016]
Edition
Revised and updated.
Place of Publication
New Jersey
Date Published
[2016]
Subjects
More information
Scope and Contents
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....
Alternative Titles
Full title
Predictive analytics : the power to predict who will click, buy, lie, or die / Eric Siegel.
Authors, Artists and Contributors
Author / Creator
Notes
General note
Revised edition of the author's Predictive analytics, 2013.
Includes bibliographical references and index.
Issued As
Online version: Siegel, Eric, 1968- Predictive analytics Revised and Updated Edition. Hoboken : Wiley, 2016 9781119145684 (DLC) 2015039877.
Identifiers
Primary Identifiers
Call Numbers
G 2016/11
Record Identifier
74VKzvAdD6DO
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/74VKzvAdD6DO
Other Identifiers
ISBN
1119145678 paperback
9781119145677 paperback
DDC
303.49
MMS ID
991023399929702626