Machine Learning
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Ensemble Learning
Quick Definition
Combining multiple models for better predictions
Full Definition
Combining multiple ML models to produce better predictions than any single model.
Examples
Random Forest, XGBoost, model stacking
Related Terms
random-forest
gradient-boosting
bagging
More Machine Learning Terms
Contrastive Learning
Self-supervised learning by contrasting data pairs
Clustering
Grouping similar data points based on feature similarity
Loss Function
Math function measuring prediction vs actual value difference
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Cross-Validation
Evaluating model performance with multiple data splits
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training