In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
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Causal inference when you can't experiment: difference-in-differences and synthetic controls
When you need to untangle cause and effect, but you can’t run an experiment, it’s time to get creative. This episode covers difference in differences and synthetic controls, two observational causal inference techniques that researchers have used to understand causality in complex real-world situations.