Judea Pearl
What’s inside
This book explores the science of causality and its application in various fields. It delves into the history of cause and effect, statistics, and introduces new tools for understanding the world.
You’ll Learn
- Enhanced understanding of statistical data analysis
- Ability to distinguish correlation from causation
- Improved critical thinking regarding cause and effect
- Insights into the future of AI and machine learning
Key Points
- The Limitations of Statistics Without Causality
- Correlation Does Not Imply Causation
- The Ladder of Causation
- Counterfactuals and their Importance in Understanding Cause
- The Power of Causal Diagrams
- Applications of Causal Inference
- The Future of AI with Causal Reasoning
Who’s it For
- Students of statistics
- Data scientists
- Researchers in various fields
- Anyone interested in the science of causality
About the author
Judea Pearl, a pioneering figure in artificial intelligence and causality, has reshaped understanding of cause and effect.