
Causal Artificial Intelligence
The Next Step in Effective Business AI
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Foreword
- Preface
- Introduction
- CHAPTER 1: Setting the Stage for Causal AI
- CHAPTER 2: Understanding the Valueof Causal AI
- CHAPTER 3: Elements of Causal AI
- CHAPTER 4: Creating Practical Causal AI Models and Systems
- CHAPTER 5: Creating a Model with a Hybrid Team
- CHAPTER 6: Explainability, Bias Detection, and AI Responsibility in Causal AI
- CHAPTER 7: Tools, Practices, and Techniques to Enable Causal AI
- CHAPTER 8: Causal AI in Action
- CHAPTER 9: The Future of Causal AI
- Glossary
- Appendix: Causal AI Tools and Libraries
- Selected Resources
- Acknowledgments
- About the Authors
- About the Contributor
- Index
- Copyright
- Dedication
- End User License Agreement