According to Paco Nathan, a data scientist should: prepare an analysis and visualization of an unknown data set, while impatient stakeholders watch over your shoulder and ask pointed questions; be prepared to make quantitative arguments about the confidence of the results describe “loss function” and “regularization term” each in 25 words or less, with a compare/contrast of several examples, and…
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