MARC details
000 -LEADER |
fixed length control field |
03033cam a2200445 i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119406365 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1119406366 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119406341 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
111940634X |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119406372 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1119406374 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
CUS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Sterne, Jim, |
245 10 - TITLE STATEMENT |
Title |
Artificial intelligence for marketing : |
Sub title |
practical applications / |
Statement of responsibility, etc. |
Jim Sterne. |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Hoboken, New Jersey : |
Name of publisher, distributor, etc. |
John Wiley & Sons, Inc., |
Date of publication, distribution, etc. |
[2017] |
300 ## - DESCRIPTION |
Extent |
1 online resource (xix, 344 pages). |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Cover ; Title Page ; Copyright ; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Welcome to the Future ; Welcome to Autonomic Marketing ; Welcome to Artificial Intelligence for Marketers ; Detect ; Decide ; Develop ; Whom Is This Book For? ; The Bright, Bright Future. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Is AI So Great if It's So Expensive? What's All This AI Then? ; The AI Umbrella ; The Machine that Learns ; Guess the Animal ; The Machine that Programs Itself ; Are We There Yet? ; AI-pocalypse; The AI that Ate the Earth ; Intentional Consequences Problem ; Unintended Consequences. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Will a Robot Take Your Job? Machine Learning's Biggest Roadblock ; Machine Learning's Greatest Asset ; How We Used to Dive into Data ; Variety of Data Is the Spice of Life ; Open Data ; Data for Sale ; But Wait-There's More; A Collaboration of Datasets ; A Customer Data Taxonomy. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Are We Really Calculable? Notes ; Chapter 2: Introduction to Machine Learning ; Three Reasons Data Scientists Should Read This Chapter ; Every Reason Marketing Professionals Should Read This Chapter ; We Think We're So Smart ; Define Your Terms ; All Models Are Wrong ; Useful Models. |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Too Much to Think About Machines Are Big Babies ; Where Machines Shine ; High Cardinality ; High Dimensionality ; Strong versus Weak AI ; The Right Tool for the Right Job ; Classification versus Regression ; Supervised Machine Learning ; Unsupervised Learning ; Neural Networks. |
650 #0 - SUBJECT |
Keyword |
Marketing. |
650 #0 - SUBJECT |
Keyword |
Artificial intelligence. |
650 #7 - SUBJECT |
Keyword |
BUSINESS & ECONOMICS |
650 #7 - SUBJECT |
Keyword |
BUSINESS & ECONOMICS |
650 #7 - SUBJECT |
Keyword |
BUSINESS & ECONOMICS |
650 #7 - SUBJECT |
Keyword |
BUSINESS & ECONOMICS |
650 #7 - SUBJECT |
Keyword |
Artificial intelligence. |
650 #7 - SUBJECT |
Keyword |
Marketing. |
856 40 - ONLINE RESOURCES |
url |
https://doi.org/10.1002/9781119406341 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
e-Books |