Feedback loop: 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.

17 March 2023

25 February 2023

23 February 2023

  • curprev 07:2707:27, 23 February 2023Alpha5 talk contribs 1,387 bytes −2,835 No edit summary
  • curprev 06:3506:35, 23 February 2023Alpha5 talk contribs 4,222 bytes −292 No edit summary
  • curprev 06:3306:33, 23 February 2023Alpha5 talk contribs 4,514 bytes +4,514 Created page with "{{see also|Machine learning terms}} ===Introduction== Feedback loops are crucial components of many machine learning algorithms, as they offer models a way to learn and improve over time. In this article, we'll define what feedback loops are, how they function within machine learning algorithms, and why they're so important. ==What is a feedback loop?== A feedback loop is a systemic mechanism in which an input is processed and an output produced. This output then serves..."