What is boosting?


Boosting is a way of making machines better at predicting in a more accurate manner by reducing bias and variance in supervised learning.

Robert Schapire and Yoav Freund were the first to create boosting algorithms, a list of words required to logically solve a problem, in 1988/99. 

These two created the algorithms on the premise of optimising machine learning, with Freund’s algorithm stating that boosting would be conducted by a majority in which many ‘weaker’ learning machines were combined to create a better-performing one.

Previous ArticleWhat is EDP?
Comments (0)

Leave a Reply

Your email address will not be published. Required fields are marked *


  • Favorite list is empty.
FavoriteLoadingClear favorites

Your favorite posts saved to your browsers cookies. If you clear cookies also favorite posts will be deleted.