A statistical physics perspective on the theory of machine learning - session 2
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This blackboard lecture formally sets up supervised learning. It covers loss functions, population vs. empirical risk, the Bayes-optimal predictor, hypothesis classes as an inductive bias, and gradient descent. The ma...