AI, Data Science, Predictions, Machine Learning, Causal Inference.
T<-X->Y is removed. The correlation between T and Y, present in the observational dataset that the classical ML estimator learns during training, no longer holds, leading to biased and inaccurate results. Figure 4: Intervening removes the backdoor parth within the causal graph (U is the exogenous