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
Survival Analysis
Statistical methods analyzing time until an event occurs
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Clustering
Grouping similar data points based on feature similarity
Naive Bayes
Probabilistic classifier using Bayes theorem with independence
Linear Regression
Modeling variable relationships by fitting a linear equation