Patrick Winston's MIT lecture on boosting algorithms, examining how multiple weak classifiers can be combined to form a strong predictive model.
MIT 6.034 Artificial Intelligence, Fall 2010
Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn't seem to overfit, and mention some applications.