Machine Learning
273 views
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
CatBoost
Gradient boosting library with native categorical feature support
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Autoencoder
Neural network learning compressed data representations
Linear Regression
Modeling variable relationships by fitting a linear equation
AdaBoost
Combining weak classifiers with adaptive sample weighting
DBSCAN
Density-based clustering finding clusters of varying shapes