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30:42
YouTube
SF Python
Beyond the Black Box Interpreting ML models with SHAP — Avik Basu (PyBay 2025)
ML models often act as black boxes, making it hard to extract actionable insights. SHAP helps explain predictions by attributing importance to input features using concepts from game theory. In this talk, we’ll cover the need for explainability, introduce the intuition behind Shapley values, and walk through a couple of case studies using ...
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