Which Career-Limiting Data Mistake Are YOU Most at Risk For?
Award-winning data science author Gary Smith says the odds depend on your relationship to the dataDr. Smith thinks that the most dangerous error is putting data before theory. Many data-mining algorithms that are now being used to screen job applicants, price car insurance, approve loan applications, and determine prison sentences have significant errors and biases that are not due to programmer mistakes and biases, but to a misplaced belief in data-mining.
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