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Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023)

Causal Bandits Podcast

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Navigating Causality and Uncertainty

This chapter explores the challenges faced by beginners in understanding Directed Acyclic Graphs (DAGs) and emphasizes the necessity of a rigorous validation phase for assessing model performance. It highlights the trade-off between predictive accuracy and causal inference, advocating for targeted inquiries into variable relationships to achieve unbiased estimates of causal effects.

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