Artificial intelligence for marketing : practical applications

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 -- Reinforcement Learning -- Make Up Your Mind -- One Algorithm to Rule Them All? -- Accepting Randomness -- Which Tech Is Best? -- For the More Statistically Minded -- What Did We Learn? -- Notes -- Chapter 3: Solving the Marketing Problem -- One-to-One Marketing -- One-to-Many Advertising -- The Four Ps