From Predictive Analytics Times If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists. After twenty years of doing what’s been variously called statistics, data-mining, analytics and data-science, we have probably made every mistake in the book—bad assumptions about how data reflects reality; imposing our own biases; unjustified statistical inferences and misguided data transformations; poorly generalized deployment; and unforeseen stakeholder consequences. But at least we’re not alone.
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