Machine Learning Intermediate
empirical risk minimization
Choosing the function that minimizes loss on the training set.
Plain English Explanation
Choosing the function that minimizes loss on the training set. Contrast with structural risk minimization.
How is it used?
Practitioners refer to empirical risk minimization when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.