Machine Learning
298 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
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
Model Selection
Choosing the best ML model from candidates
Regularization
Techniques constraining model complexity to prevent overfitting
Feature Selection
Identifying the most relevant features for model training
Active Learning
Algorithm selecting most informative data points for labeling
Markov Chain
Stochastic model where events depend only on previous state