Definition drift occurs when a word or concept’s meaning subtly shifts over time, often due to evolving cultural context or repeated misuse. In data science and machine learning, it describes when a model’s input data changes, degrading prediction accuracy. Marketers, researchers, and product managers benefit by monitoring this drift to maintain relevance and optimize performance.
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