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Comment by ghm2180

10 hours ago

This is doubly true in Machine Learning Engineering. Knowing what methods to avoid is just as important to know what might work well and why. Importantly a bunch of Data Science techniques — and I use data science in the sense of making critical team/org decisions — is also as important for which you should understand a bit of statistics not only data driven ML.

Statistics is absolutely fundamental to data science. But I’m not sure this relates to the above idea of “laws” being internally contradictory?