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
Contrastive Learning
Self-supervised learning by contrasting data pairs
ROC Curve
Plot showing classifier performance across thresholds
Hidden Markov Model
Statistical model with hidden states and observable outputs
t-SNE
Nonlinear technique for visualizing high-dimensional data
XGBoost
Optimized gradient boosting library for structured data
Dimensionality Reduction
Reducing feature count while preserving important information