Empirical risk minimization (ERM): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

20 March 2023

  • curprev 01:1501:15, 20 March 2023‎ Walle talk contribs‎ 3,014 bytes +3,014‎ Created page with "{{see also|Machine learning terms}} ==Empirical Risk Minimization (ERM)== Empirical Risk Minimization (ERM) is a fundamental concept in the field of machine learning and statistical learning theory. ERM is a strategy that aims to minimize the risk of making incorrect predictions by selecting the best hypothesis from a given hypothesis set. The risk is defined as the expected loss incurred when using the selected hypothesis to make predictions on unseen data. ERM..."
Retrieved from "http:///wiki/Empirical_risk_minimization_(ERM)"