Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
treatment effect for each individual unit under study is defined as the difference between two potential outcomes: One outcome if the unit is exposed to the treatment and another outcome if the unit is exposed to the control. In practice, the individual treatment effect is unobservable because