Difference between revisions of "Boosting"

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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
 
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[http://www.youtube.com/results?search_query=Gradient+Boosting+Algorithms Youtube search...]
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[https://www.youtube.com/results?search_query=Gradient+Boosting+Algorithms Youtube search...]
[http://www.google.com/search?q=Gradient+Boosting+Algorithms+machine+learning+ML+artificial+intelligence ...Google search]
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[https://www.google.com/search?q=Gradient+Boosting+Algorithms+machine+learning+ML+artificial+intelligence ...Google search]
  
 
* [[Overfitting Challenge]]
 
* [[Overfitting Challenge]]
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* [[Gradient Descent Optimization & Challenges]]
 
* [[Gradient Descent Optimization & Challenges]]
 
* [[Objective vs. Cost vs. Loss vs. Error Function]]
 
* [[Objective vs. Cost vs. Loss vs. Error Function]]
* [http://en.wikipedia.org/wiki/Boosting_(machine_learning) Boosting | Wikipedia]
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* [https://en.wikipedia.org/wiki/Boosting_(machine_learning) Boosting | Wikipedia]
* [http://machinelearningmastery.com/gentle-introduction-gradient-boosting-algorithm-machine-learning/ A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning | Jason Brownlee]
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* [https://machinelearningmastery.com/gentle-introduction-gradient-boosting-algorithm-machine-learning/ A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning | Jason Brownlee]
 
* [[Ensemble Learning]]
 
* [[Ensemble Learning]]
  
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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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. [https://towardsdatascience.com/10-machine-learning-algorithms-you-need-to-know-77fb0055fe0 10 Machine Learning Algorithms You need to Know | Sidath Asir @ Medium]
  
 
* [[Gradient Boosting Machine (GBM)]]
 
* [[Gradient Boosting Machine (GBM)]]
 
* Gradient [[(Boosted) Decision Tree]] (GBDT)
 
* Gradient [[(Boosted) Decision Tree]] (GBDT)
* [http://en.wikipedia.org/wiki/AdaBoost Adaptive Boosting (AdaBoost)]
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* [https://en.wikipedia.org/wiki/AdaBoost Adaptive Boosting (AdaBoost)]
* [http://xgboost.readthedocs.io/en/latest/ XGBoost] — uses liner and tree algorithms
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* [https://xgboost.readthedocs.io/en/latest/ XGBoost] — uses liner and tree algorithms
 
* [[LightGBM]]  ...Microsoft's gradient boosting framework that uses tree based learning algorithms   
 
* [[LightGBM]]  ...Microsoft's gradient boosting framework that uses tree based learning algorithms   
  

Revision as of 04:29, 28 March 2023

Youtube search... ...Google search

  1. Regularization
  2. Boosting
  3. Multiclassifiers; Ensembles and Hybrids; Bagging, Boosting, and Stacking


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