MACHINE LEARNING GLOSSARY: THE BEGINNER'S GUIDE TO MACHINE LEARNING by UTAGAWA HIROTO

Author:UTAGAWA, HIROTO [UTAGAWA, HIROTO]
Language: eng
Format: epub, pdf
Published: 2020-10-21T16:00:00+00:00

​4-3. ​Ensemble Learning

An approach to building more accurate training models by combining multiple training models in machine learning.

​4-3-1. ​bagging

An ensemble learning technique. Multiple models of the same type are created in parallel and the mean of the predictions is obtained. It is also used in models such as random forests.

​4-3-2. ​boosting

A type of ensemble learning, in which the same type of model is combined in series and the predictions of the previous model are corrected. It is also used in models such as GBDT.

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