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[2025 Spring] Introduction to Classical Machine Learning: Ensemble: Bagging Boosting Stacking
Автор: UArizona DataLab
Загружено: 2025-03-25
Просмотров: 46
Описание:
Boosting is a way to improve the performance of a model by combining several weaker models to create a stronger one. Think of it like a team of players in a sport. Individually, they may not be the best, but together they can win games.
Learn more about us:
U of A DataLab Repositories: https://ua-datalab.github.io/
GitHub Wiki on the topic: https://github.com/ua-datalab/MLWorks....
Classical Machine Learning Series wiki pages: https://github.com/ua-datalab/MLWorks....
Learn of other workshops and register here: https://datascience.arizona.edu/educa...
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