A Short Introduction: Boosting and AdaBoost March 29, 2016 algorithms, introduction, machine learning No Comments Boosting is an ensemble technique that attempts to create a strong classifier from a number of weak classifiers. This is done by building a model from the training data, … [Continue Reading...]