Machine Learning, Causal Inference, Programming, Data Science.
we need to see the effect on individual levels instead of an average effect, or when we make a prediction and we want to see why a certain result happens — whether it’s due to a policy change on that individual. Using meta-learners can help us bridge machine learning algorithms with causal