Boosting (AdaBoost, Gradient Boosting) — Roadmap Step & Resources
Sequentially training models that focus on correcting previous models' mistakes
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Machine Learning
Before this step
Interview questions
- Bagging vs boosting — how do they reduce error differently?
Study resources
- AdaBoost, Clearly Explained (Video) — StatQuest's widely-loved explanation of AdaBoost and the general boosting idea.
- Gradient Boosted Trees (Article) — The official scikit-learn documentation on gradient boosting.
Part of
- Ensemble Methods — section
- Machine Learning roadmap — the full learning path