Statistics, Machine Learning, Causal Inference, … People coming from these different modeling cultures often have misunderstandings, and fight over whether logistic regression is “AI” or statistics. Why the big differences? 1/n �� 2/n The tools and methods have quite a big overlap. Linear regression models are used in stats, ml and causality. ML draws heavily from statistical models. So, misunderstandings and differences can’t be solely explained by the tools that are used. But what is it then? 3/n The difference is subtle, but fundamental. Each modeling culture has its own definition of what constitutes a good model. Let’s have a look at these different “generalization mindsets”.