Causal Inference, Machine Learning, Azure, Microsoft, Data Science.
work? Why did a treatment work? In the case of a multi-treatment scenario, which investment should we recommend to customers? Causal inference bridges the gap between prediction and decision-making. This is useful because prediction models alone are of no help when reasoning what might happen if we