Machine Learning, Data Science, Supervised Learning, Editors Pick, Getting Started.
distribution of weights for each observation in the training dataset and, in each iteration the algorithm adjusts those weights based on how the previous weak learner performed. But its adaptive nature comes into play when, during each iteration, it chooses a new the learning rate alpha based on