Difference between revisions of "Boosting"
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Revision as of 15:28, 12 January 2019
- Gradient Descent Optimization & Challenges
- Objective vs. Cost vs. Loss vs. Error Function
- Boosting | Wikipedia
Gradient Boosting Algorithm uses multiple weak algorithms to create a more powerful accurate algorithm. Instead of using a single estimator, having multiple will create a more stable and robust algorithm. The specialty of Gradient Boosting Algorithms is their higher accuracy. There are several Gradient Boosting Algorithms. 10 Machine Learning Algorithms You need to Know | Sidath Asir @ Medium
- XGBoost — uses liner and tree algorithms
- LightGBM — uses only tree-based algorithms; has incredible high performance as well.
