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
Dimensionality Reduction
Reducing feature count while preserving important information
Hyperparameter Tuning
Finding optimal configuration values before training
Unsupervised Learning
Discovering hidden patterns in unlabeled data
Survival Analysis
Statistical methods analyzing time until an event occurs
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
A/B Testing
Statistical method comparing two versions for performance