Model Complexity and Performance
Keith and Tim discuss the importance of proper complexity control in models for better performance and generalization. They emphasize the significance of Bayesian model selection for controlling model complexity and improving model accuracy outside the training set.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Computation, Bayesian Model Selection, Interactive Articles
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