Machine Learning
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Boosting
Quick Definition
Sequentially combining weak learners correcting previous errors
Full Definition
An ensemble technique combining multiple weak learners sequentially where each corrects previous errors.
Examples
AdaBoost, Gradient Boosting, XGBoost, LightGBM
Related Terms
ensemble-learning
gradient-boosting
bagging
More Machine Learning Terms
Bayesian Optimization
Optimizing expensive functions using a probabilistic model
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Cross-Validation
Evaluating model performance with multiple data splits
Survival Analysis
Statistical methods analyzing time until an event occurs