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If Your Data Is Bad, Your Machine Learning Tools Are Useless

Harvard Business Review

Alan Schein Photography/Getty Images. Further, as machine learning technologies penetrate organizations, the output of one predictive model will feed the next, and the next, and so on, even crossing company boundaries. Poor data quality is enemy number one to the widespread, profitable use of machine learning.

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