Machine Learning
21 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
A/B Testing
Statistical method comparing two versions for performance
Unsupervised Learning
Discovering hidden patterns in unlabeled data
XGBoost
Optimized gradient boosting library for structured data
Supervised Learning
Learning from labeled training data with input-output pairs
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Learning Rate
Hyperparameter controlling gradient descent step size