Causal Inference, Causal Data Science, Causal Machine Learning, Data Science, Machine Learning.
inference. In our example, there has not been any type of experiment design; we have just stored the data as we were receiving it. 2. Understand your problem Moving to the second step, if you want to understand what makes people ill, you need to gather all the potential causes of the illness.