Machine Learning
260 views
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
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
DBSCAN
Density-based clustering finding clusters of varying shapes
Kernel Trick
Transforming data to higher dimensions for linear separability
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Imbalanced Learning
Handling datasets with unequal class distributions