Web: https://www.reddit.com/r/datascience/comments/sgmwc5/difference_between_regularization_and_ensembling/

Jan. 31, 2022, 12:06 a.m. | /u/ecasanova1995

Data Science reddit.com

Disclosure I'm a beginner...

I'm a little confused with these two terms, in the case of decision trees we use the same methods of bagging and boosting for both regularizing and ensembling, so I want to know if when someone regularize the model is also ensembling it? Or what would be the difference between the two concepts and how the same methods are applied to those two different situations?

submitted by /u/ecasanova1995
[link] [comments]

datascience

Senior Data Engineer

@ DAZN | Hammersmith, London, United Kingdom

Sr. Data Engineer, Growth

@ Netflix | Remote, United States

Data Engineer - Remote

@ Craft | Wrocław, Lower Silesian Voivodeship, Poland

Manager, Operations Data Science

@ Binance.US | Vancouver

Senior Machine Learning Researcher for Copilot

@ GitHub | Remote - Europe

Sr. Marketing Data Analyst

@ HoneyBook | San Francisco, CA