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

Harvard Business Review

Alan Schein Photography/Getty Images. While the data science team that developed the predictive model may have done a solid job cleaning the training data, it can still be compromised by bad data going forward. Doing so will have the salutary effect of eliminating hidden data factories, saving you time and money in operations as well.

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