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

Causal Bandits Podcast

CHAPTER

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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