The machine learning practitioner has a tradition of algorithms and a pragmatic focus on results and model skills above other concerns such as model interpretability. Statisticians work on much the same type of modeling problems under the names of applied statistics and statistical learning. Coming from a mathematical background, they have more of a focus on the behavior of models and the explainability of predictions. The very close relationship between the two approaches to the same problem means that both fields have a lot to
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