from slides

by Matt Zhang

Adaptive Boosting (AdaBoost)

AdaBoost is a systemmatic way to construct a complicated model (strong learner) by combining many copies of a simple model (weak learner). Each simple model is fit to a reweighted data set, where unexplained data have higher weights.

Presentation Summary

In this presentation, I present:

  • adaptive boosting


You imagine it


All Machine Learning