How do you approach the challenge of ensuring ML model interpretability in complex systems?
Instruction: Discuss methods and best practices for maintaining model interpretability in highly complex ML systems.
Context: This question tests the candidate's ability to balance model complexity with the need for interpretability, crucial for transparency and trust in ML applications.
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In complex systems, I try to make interpretability practical rather than perfect...