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
DBSCAN
Density-based clustering finding clusters of varying shapes
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Boosting
Sequentially combining weak learners correcting previous errors
Hidden Markov Model
Statistical model with hidden states and observable outputs
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting