Model Comparison Insights
Sean emphasizes the importance of model comparison and evaluation in machine learning, highlighting the need for a nuanced approach beyond traditional metrics. He suggests exploring posterior predictive checks and off-policy evaluation for a deeper understanding of model performance in real-world scenarios.In this clip
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