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Comment by ghm2180

7 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?