Difference between revisions of "Boosting"
(Created page with "[http://www.youtube.com/results?search_query=Gradient+Boosting+Algorithms Youtube search...] * Gradient Descent Optimization & Challenges <youtube>q555kfIFUCM</youtube>...") |
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| − | <youtube> | + | 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. [http://towardsdatascience.com/10-machine-learning-algorithms-you-need-to-know-77fb0055fe0 10 Machine Learning Algorithms You need to Know | Sidath Asir @ Medium] |
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| + | * [http://xgboost.readthedocs.io/en/latest/ XGBoost] — uses liner and tree algorithms | ||
| + | * [http://lightgbm.readthedocs.io/en/latest/ LightGBM] — uses only tree-based algorithms; has incredible high performance as well. | ||
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| + | <youtube>sRktKszFmSk</youtube> | ||
| + | <youtube>ErDgauqnTHk</youtube> | ||
Revision as of 20:59, 4 June 2018
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.
