Model Drift in Machine Learning

Understanding and Dealing with Model Drift

Kurtis Pykes
Towards Data Science
5 min readAug 3, 2021

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Photo by Aral Tasher on Unsplash

All things tend towards disorder. The second law of thermodynamics states “as one goes forward in time, the net entropy (degree of disorder) of any isolated or closed system will always increase (or at least stay the same)”. Thus, nothing lasts forever. Our youth is not forever, the best becomes the worst, and our machine learning models…

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