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|a Vaughan, Daniel.
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|a Analytical Skills for AI and Data Science :
|b Building Skills for an AI-Driven Enterprise.
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| 260 |
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|a Sebastopol :
|b O'Reilly Media, Incorporated,
|c 2020.
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|a 1 online resource (244 pages)
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|a Intro -- Preface -- Why Analytical Skills for AI? -- Use Case-Driven Approach -- What This Book Isn't -- Who This Book Is For -- What's Needed -- Conventions Used in This Book -- Using Code Examples -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- 1. Analytical Thinking and the AI-Driven Enterprise -- What Is AI? -- Why Current AI Won't Deliver on Its Promises -- How Did We Get Here? -- The Data Revolution -- The three Vs -- Data maturity models -- Descriptive stage -- Predictive stage -- Prescriptive stage -- A Tale of Unrealized Expectations
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| 505 |
8 |
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|a Analytical Skills for the Modern AI-Driven Enterprise -- Key Takeways -- Further Reading -- 2. Intro to Analytical Thinking -- Descriptive, Predictive, and Prescriptive Questions -- When Predictive Analysis Is Powerful: The Case of Cancer Detection -- Descriptive Analysis: The Case of Customer Churn -- Describing churn -- Predicting churn -- Prescribing courses of action to reduce churn -- Business Questions and KPIs -- KPIs to Measure the Success of a Loyalty Program -- An Anatomy of a Decision: A Simple Decomposition -- An Example: Why Did You Buy This Book? -- A Primer on Causation
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| 505 |
8 |
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|a Defining Correlation and Causation -- Some Difficulties in Estimating Causal Effects -- Problem 1: We can't observe counterfactuals -- Problem 2: Heterogeneity -- Problem 3: Confounders -- Problem 4: Selection effects -- A/B testing -- Uncertainty -- Uncertainty from Simplification -- Uncertainty from Heterogeneity -- Uncertainty from Social Interactions -- Uncertainty from Ignorance -- Key Takeaways -- Further Reading -- 3. Learning to Ask Good Business Questions -- From Business Objectives to Business Questions -- Descriptive, Predictive, and Prescriptive Questions
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| 505 |
8 |
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|a Always Start with the Business Question and Work Backward -- Further Deconstructing the Business Questions -- Example with a Two-Sided Platform -- Learning to Ask Business Questions: Examples from Common Use Cases -- Lowering Churn -- Defining the business question -- Descriptive questions -- Predictive questions -- Prescriptive questions -- Cross-Selling: Next-Best Offer -- Defining the business question -- Descriptive questions -- Predictive questions -- Prescriptive questions -- CAPEX Optimization -- Store Locations -- Who Should I Hire? -- Delinquency Rates -- Stock or Inventory Optimization
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| 505 |
8 |
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|a Store Staffing -- Key Takeaways -- Further Reading -- 4. Actions, Levers, and Decisions -- Understanding What Is Actionable -- Physical Levers -- Human Levers -- Why Do We Behave the Way We Do? -- Levers from Restrictions -- Time restrictions -- Levers That Affect Our Preferences -- Genetics -- Individual and social learning -- Social reasons: strategic effects -- Social reasons: conformity and peer effects -- Framing effects -- Loss aversion -- Levers That Change Your Expectations -- The availability and representativeness heuristics -- Revisiting Our Use Cases -- Customer Churn -- Cross-Selling
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| 505 |
0 |
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|a Analytical thinking and the AI-driven enterprise -- Intro to analytical thinking -- Learning to ask good business questions -- Actions, levers, and decisions -- From actions to consequences: learning how to simplify -- Uncertainity -- Optimization -- Wrapping up.
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| 504 |
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|a Includes bibliographical references and index.
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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| 650 |
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|a Business
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|a Artificial intelligence.
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|i Print version:
|a Vaughan, Daniel.
|t Analytical Skills for AI and Data Science : Building Skills for an AI-Driven Enterprise.
|d Sebastopol : O'Reilly Media, Incorporated, ©2020
|
| 856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781492060932/?ar
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