CMU 07-280 Lecture 5: Defining Machine Learning with Loss, Risk, and ERM
Lecture 5 formulates machine learning through `X → Y`, loss, risk, and empirical risk minimization: a training set only gives average observed loss, while the real objective remains generalization over an unknown distribution.