Interpretability Insights
Sameer discusses the challenges of interpretability in non-linear models and the importance of understanding complex machine learning systems. Nathan questions the assumption that linear models are inherently better for interpretability, highlighting the complexities that can arise even in seemingly simple linear models.In this clip
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NLP Highlights
117 - Interpreting NLP Model Predictions, with Sameer Singh
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