Ideal Model Selection
Jeff discusses the ideal scenario of considering all possible models and relying on Bayesian inference for model selection based on data and models considered. He highlights the challenge of exhaustive search but emphasizes the practical reliance on the automatic Occam's razor effect for normative decision-making in model selection.In this clip
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Machine Learning Street Talk (MLST)
DR. JEFF BECK - THE BAYESIAN BRAIN
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