InformationWeek: Why Data Science Isn’t an Exact Science

InformationWeek: Why Data Science Isn’t an Exact Science. “‘When we’re doing data science effectively, we’re using statistics to model the real world, and it’s not clear that the statistical models we develop accurately describe what’s going on in the real world,’ said Ben Moseley, associate professor of operations research at Carnegie Mellon University’s Tepper School of Business. ‘We might define some probability distribution, but it isn’t even clear the world acts according to some probability distribution.'”

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