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
Lasso Regression
Regularized regression using L1 penalty for feature selection
Gradient Boosting
Sequential ensemble method correcting previous model errors
Model Selection
Choosing the best ML model from candidates
Autoencoder
Neural network learning compressed data representations
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
Learning Rate
Hyperparameter controlling gradient descent step size