If Your Data Is Bad, Your Machine Learning Tools Are Useless
Harvard Business Review
APRIL 2, 2018
Alan Schein Photography/Getty Images. The quality demands of machine learning are steep, and bad data can rear its ugly head twice — first in the historical data used to train the predictive model and second in the new data used by that model to make future decisions. This in turns subverts the hoped-for productivity gains.
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