Causal Artificial Intelligence
eBook - ePub

Causal Artificial Intelligence

The Next Step in Effective Business AI

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Causal Artificial Intelligence

The Next Step in Effective Business AI

About this book

Discover the next major revolution in data science and AI and how it applies to your organization

In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book's discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Useful for both data scientists and business-side professionals, the book offers:

  • Clear and compelling descriptions of the concept of causality and how it can benefit your organization
  • Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems
  • Useful strategies for deciding when to use correlation-based approaches and when to use causal inference

An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.

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Yes, you can access Causal Artificial Intelligence by Judith S. Hurwitz,John K. Thompson in PDF and/or ePUB format, as well as other popular books in Computer Science & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2023
Print ISBN
9781394184132
eBook ISBN
9781394184156

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Foreword
  5. Preface
  6. Introduction
  7. CHAPTER 1: Setting the Stage for Causal AI
  8. CHAPTER 2: Understanding the Valueof Causal AI
  9. CHAPTER 3: Elements of Causal AI
  10. CHAPTER 4: Creating Practical Causal AI Models and Systems
  11. CHAPTER 5: Creating a Model with a Hybrid Team
  12. CHAPTER 6: Explainability, Bias Detection, and AI Responsibility in Causal AI
  13. CHAPTER 7: Tools, Practices, and Techniques to Enable Causal AI
  14. CHAPTER 8: Causal AI in Action
  15. CHAPTER 9: The Future of Causal AI
  16. Glossary
  17. Appendix: Causal AI Tools and Libraries
  18. Selected Resources
  19. Acknowledgments
  20. About the Authors
  21. About the Contributor
  22. Index
  23. Copyright
  24. Dedication
  25. End User License Agreement