Wikis
Info-nuggets to help anyone understand various concepts of MLOps, their significance, and how they are managed throughout the ML lifecycle.
Data Drift
Data drift is the change in model input data that causes a decline in model performance.
Data drift is the change in model input data that causes a decline in model performance. It is an unanticipated and undocumented alteration to data structure, semantics, and infrastructure brought on by today's data architectures.
Techniques to measure data drift:
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