Analytical Skills for AI and Data Science : Building Skills for an AI-Driven Enterprise.
Author
Published
Sebastopol : O'Reilly Media, Incorporated, 2020.
Status
Available Online
Description
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.
Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.
- Break business decisions into stages that can be tackled using different skills from the analytical toolbox
- Identify and embrace uncertainty in decision making and protect against common human biases
- Customize optimal decisions to different customers using predictive and prescriptive methods and technologies
- Ask business questions that create high value through AI- and data-driven technologies
More Details
Format
Language
English
ISBN
1492060917, 9781492060918, 9781492060895, 1492060895
Notes
Bibliography
Includes bibliographical references and index.
Local note
O'Reilly O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Vaughan, D. (2020). Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise . O'Reilly Media, Incorporated.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Vaughan, Daniel. 2020. Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise. Sebastopol: O'Reilly Media, Incorporated.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Vaughan, Daniel. Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise Sebastopol: O'Reilly Media, Incorporated, 2020.
Harvard Citation (style guide)Vaughan, D. (2020). Analytical skills for AI and data science: building skills for an AI-driven enterprise. Sebastopol: O'Reilly Media, Incorporated.
MLA Citation, 9th Edition (style guide)Vaughan, Daniel. Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise O'Reilly Media, Incorporated, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
02e9a068-44a5-9618-a401-651ff51e7466-eng
Grouping Information
| Grouped Work ID | 02e9a068-44a5-9618-a401-651ff51e7466-eng |
|---|---|
| Full title | analytical skills for ai and data science building skills for an ai driven enterprise |
| Author | vaughan daniel |
| Grouping Category | book |
| Last Update | 2025-02-11 03:40:45AM |
| Last Indexed | 2025-05-22 03:00:49AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Jan 14, 2024 |
| Last Used | May 9, 2025 |
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| 100 | 1 | |a Vaughan, Daniel. | |
| 245 | 1 | 0 | |a Analytical Skills for AI and Data Science :|b Building Skills for an AI-Driven Enterprise. |
| 260 | |a Sebastopol :|b O'Reilly Media, Incorporated,|c 2020. | ||
| 300 | |a 1 online resource (244 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 0 | |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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