909: Causal AI, with Dr. Robert Usazuwa Ness
Super Data Science: ML & AI Podcast with Jon Krohn
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Causal Inference in AI and Data Science
This chapter explores the complexities of causal inference through the lens of language models, particularly in predicting viewer behavior on platforms like Netflix. It discusses Judea Pearl's ladder of causation, the role of generative AI in causal analysis, and the significance of understanding underlying assumptions when modeling causal relationships. The chapter culminates with recommendations for further reading on causal AI, highlighting key texts that provide deeper insights into the subject.
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