909: Causal AI, with Dr. Robert Usazuwa Ness
Super Data Science: ML & AI Podcast with Jon Krohn
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Causal Analysis in Gaming Data
This chapter explores the complexities of causal analysis in online gaming, highlighting the impact of confounding variables on in-game spending. The discussion emphasizes the importance of randomized experiments and the use of modern tools like PyTorch for causal modeling. The chapter also addresses the challenges of implementing these methods in sensitive real-world scenarios, proposing alternative analyses using pre-existing data.
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