What do you feel is the biggest issue facing data science today?
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ML and the fact that almost nobody applies the scientific method to it. (What did it learn correctly? What did it not learn? How does it handle failure conditions? What is the confidence interval? Etc.)
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Shitty data! (was literally just talking about you and your data hoarding with my PhD students)
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Over fitting data to extract " insights" where there aren't any. Sometimes there are no insights. People should be more accepting of this fact.
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The fact that "data science" is not a well-defined discipline, and has become a buzzword, in many cases without much substance.
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