Gradient Boosting
AI/ML Fundamentals
Ensemble method building models sequentially to reduce errors
What is Gradient Boosting?
Boosting trains models iteratively where each model tries to correct the errors of the previous ones. Popular implementations: XGBoost, LightGBM, CatBoost.
Real-World Examples
- •Winning Kaggle models
- •Tabular data tasks
Related Terms
Learn more about concepts related to Gradient Boosting