Let's learn about Model Interpretability
Interpretability is essential for:
Model debugging - Why did my model make this mistake?
Feature Engineering - How can I improve my model
Detecting fairness issues - Does my model discriminate?
Human-AI cooperation - How can I understand and trust the model's decisions?
Regulatory compliance - Does my model satisfy legal requirements?
High-risk applications - Healthcare, finance, judicial,
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