Causality: Models, Reasoning, and Inference
Judea Pearl provides a definitive framework for understanding how one event leads to another, transforming causality from a vague philosophical idea into a rigorous mathematical science. As a pioneer in artificial intelligence, Pearl introduces the structural causal model to bridge the gap between simple data correlation and true cause-and-effect reasoning. This work explains how to use directed …
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