Module
Supervised Learning Problem Setup
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About
Formalize supervised learning: input/output spaces, hypothesis classes, loss functions, risk vs. empirical risk, and the train/validation/test methodology.
Goal
Given a prediction task, specify features, label type, a hypothesis class, a loss, and a correct train/val/test protocol; compute empirical risk on a hold-out set.
Prerequisites
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