What are the challenges and solutions for deploying machine learning models in production?
Instruction: Discuss the common challenges faced when deploying machine learning models and how to overcome them.
Context: This question tests the candidate's practical experience and understanding of the full machine learning lifecycle, from development to deployment.
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The challenges usually have less to do with training and more to do with integration, observability, drift, feature parity, latency, rollback, and ownership...