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Databricks Certified Machine Learning Professional · Databricks
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- Concept drift occurs when the statistical relationship between input features and the target variable changes over time. Unlike data drift (which affects inputs), concept drift means the underlying patterns the model learned are no longer valid, requiring retraining.