Difference between revisions of "Ensemble Learning"
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* [[Advanced Learning]] | * [[Advanced Learning]] | ||
| − | * [http://en.wikipedia.org/wiki/Ensemble_learning Ensemble Learning | Wikipedia] | + | * [http://en.wikipedia.org/wiki/Ensemble_learning Common types of Ensemble Learning | Wikipedia] |
| − | * [[Boosting]] | + | ** [[Multiclassifiers; Ensembles and Hybrids; Bagging, Boosting, and Stacking]] |
| + | ** [http://en.wikipedia.org/wiki/Ensemble_learning#Bucket_of_models Bucket of Models | Wikipedia] | ||
| + | ** [http://en.wikipedia.org/wiki/Ensemble_learning#Bayes_optimal_classifier Bayes Optimal Classifier (BOC) | Wikipedia] | ||
| + | ** [http://en.wikipedia.org/wiki/Ensemble_learning#Bayesian_parameter_averaging Bayesian Parameter Averaging (BPA) | Wikipedia] | ||
| + | ** [http://en.wikipedia.org/wiki/Ensemble_learning#Bayesian_model_combination Bayesian Model Combination (BMC) | Wikipedia] | ||
| + | |||
Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance. [http://towardsdatascience.com/simple-guide-for-ensemble-learning-methods-d87cc68705a2 Simple guide for ensemble learning methods | Juhi - Towards Data Science] | Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance. [http://towardsdatascience.com/simple-guide-for-ensemble-learning-methods-d87cc68705a2 Simple guide for ensemble learning methods | Juhi - Towards Data Science] | ||
Revision as of 21:04, 1 July 2019
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Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance. Simple guide for ensemble learning methods | Juhi - Towards Data Science
