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Artificial intelligence for marketing : practical applications / Jim Sterne.

By: Material type: TextTextSeries: Wiley and SAS business seriesPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2017]Description: 1 online resource (xix, 344 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119406365
  • 1119406366
  • 9781119406341
  • 111940634X
  • 9781119406372
  • 1119406374
Subject(s): Genre/Form: Additional physical formats: Print version:: Artificial intelligence for marketing.DDC classification:
  • 658.800285/63 23
LOC classification:
  • HF5415 .S775 2017
Online resources:
Contents:
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.
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.
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.
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.
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.
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Includes bibliographical references and index.

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.

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.

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.

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.

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.

Online resource; title from digital title page (viewed on August 31, 2017).

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