Machine Learning
31 views
Ridge Regression
Quick Definition
Regularized regression using L2 penalty to prevent overfitting
Full Definition
A regularized regression method adding L2 penalty to prevent overfitting by shrinking coefficient values.
Examples
multicollinearity handling, feature shrinkage, stable estimates
Related Terms
lasso-regression
regularization
linear-regression
More Machine Learning Terms
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Supervised Learning
Learning from labeled training data with input-output pairs
Feature Engineering
Creating and transforming input variables to improve performance
Logistic Regression
Statistical model estimating binary outcome probabilities
Contrastive Learning
Self-supervised learning by contrasting data pairs