Convex optimization: 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.

19 March 2023

  • curprev 15:4615:46, 19 March 2023‎ Walle talk contribs‎ 3,072 bytes +3,072‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Convex optimization is a subfield of mathematical optimization that deals with the minimization (or maximization) of convex functions over convex sets. In the context of machine learning, convex optimization plays a crucial role in finding the best model parameters, given a particular training dataset and a loss function. This field has gained significant attention in recent years, as it provides reliable and efficient..."
Retrieved from "http:///wiki/Convex_optimization"