Machine Learning
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Quick Definition
Training models on random subsets and averaging predictions
Full Definition
Bootstrap Aggregating, an ensemble method training multiple models on random data subsets and averaging predictions.
Examples
Random Forest, parallel ensemble training, variance reduction
Related Terms
random-forest
ensemble-learning
boosting
More Machine Learning Terms
K-Means
Partitioning data into k clusters by updating centroids
t-SNE
Nonlinear technique for visualizing high-dimensional data
Ensemble Learning
Combining multiple models for better predictions
Kernel Trick
Transforming data to higher dimensions for linear separability
Lasso Regression
Regularized regression using L1 penalty for feature selection
CatBoost
Gradient boosting library with native categorical feature support