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
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Clustering
Grouping similar data points based on feature similarity
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Lasso Regression
Regularized regression using L1 penalty for feature selection