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
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Identifying the most relevant features for model training
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Regularized regression using L1 penalty for feature selection
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Finding optimal hyperplane to separate classes with max margin
Machine Learning
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Multi-Task Learning
Training one model for multiple related tasks simultaneously
Reinforcement Learning ML
Learning optimal decisions through environment interaction