AdaBoost Algorithm

AdaBoost Algorithm is a boosting method that works by combining weak learners into strong learners. A good way for a prediction model to correct its predecessor is to give more attention to the training samples where the predecessor did not fit well. This can result in a new prediction model which will focus much on the hard instances. This technique is used by an AdaBoost Algorithm. In this article, I will take you through the AdaBoost Algorithm in Machine Learning.