Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
have no observed values of Y for one of the treatment groups for those values of X. Variability in treatment assignment is important for identification. Types of treatment effects Our objective for causal inference is to estimate the treatment effect from the observational data. The treatment