Instruction: Describe what a feedback loop is in the context of MLOps and why it is crucial for the iterative improvement of ML models in production.
Context: This question tests the candidate's understanding of feedback mechanisms for continuous learning and model enhancement, highlighting their grasp of iterative model improvement post-deployment.
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The way I'd explain it in an interview is this: Feedback loops matter because models affect the systems they observe. User behavior changes, labels arrive later, interventions alter outcomes, and the model can influence the future data distribution it will train on next....