Machine Learning
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Regularization
Quick Definition
Techniques constraining model complexity to prevent overfitting
Full Definition
Techniques that constrain or penalize model complexity to prevent overfitting and improve generalization.
Examples
L1/L2 regularization, dropout, early stopping
Related Terms
overfitting
lasso
ridge-regression
More Machine Learning Terms
Machine Learning
AI subset where systems learn patterns from data
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Linear Regression
Modeling variable relationships by fitting a linear equation
t-SNE
Nonlinear technique for visualizing high-dimensional data
Backpropagation
Algorithm computing gradients for neural network weight updates
Cross-Validation
Evaluating model performance with multiple data splits