Qbase

Regularization: Revision history

View logs for this page

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.

10 June 2025

  • curprev 06:2406:24, 10 June 2025 Thakshashila talk contribs 2,440 bytes +37 →SEO Keywords
  • curprev 05:5805:58, 10 June 2025 Thakshashila talk contribs 2,403 bytes +2,403 Created page with "= Regularization = '''Regularization''' is a technique in machine learning used to prevent '''overfitting''' by adding extra constraints or penalties to a model during training. == Why Regularization is Important == Overfitting happens when a model learns noise and details from the training data, harming its ability to generalize on new data. Regularization discourages overly complex models by penalizing large or unnecessary model parameters. == Common Types of Regul..."
Retrieved from "https://qbase.texpertssolutions.com/index.php/Regularization"