Reviving Old Research
Serg discusses the resurgence of academic topics in data science that were once overlooked, particularly in probability and regression. He highlights the significance of identifying discontinuities in data, which can indicate human treatment effects and causal explanations. This exploration reveals valuable insights for both machine learning and causal modeling, making it a compelling read for data enthusiasts.In this clip
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