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Aug 13, 2020, 6:00 am168 pts
InfoWorld
As hard as it is for data scientists to tag data and develop accurate machine learning models, managing models in production can be even more daunting. Recognizing model drift, retraining models with updating data sets, improving performance, and maintaining the underlying technology platforms are all important…
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