When the statistical properties of input data change over time compared to the training data, potentially degrading model performance. Like a recipe not working well when ingredient quality changes.
A shopping recommendation model experiences data drift when customer behavior shifts during holidays, requiring monitoring and potential retraining.
When the statistical properties of input data change over time compared to the training data, potentially degrading model performance. Like a recipe not working well when ingredient quality changes.
A shopping recommendation model experiences data drift when customer behavior shifts during holidays, requiring monitoring and potential retraining.
Related concepts include Model Drift, Model Monitoring, Data Quality. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.