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
Data Augmentation
Artificially increasing training data through modified copies
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
K-Means
Partitioning data into k clusters by updating centroids
Imbalanced Learning
Handling datasets with unequal class distributions
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Decision Tree
Tree-like model splitting data based on feature values