Published Sep 27, 2022
SDS 613: Causal Machine Learning — with Emre Kiciman
Emre Kiciman delves into the transformative potential of causal machine learning, discussing its innovative applications in fields like agriculture and health, and highlighting his contributions to open-source tools like the DoWhy library to enhance causal inference. The episode unpacks the complexities and future possibilities of integrating domain knowledge and assumptions for accurate and robust decision-making.
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