Adaboost Model - The weighted wisdom of the crowds

Abstract

The area of Statistical Machine Learning has been growing exponentially over the last decades, and within this, there is the supervised learning task that seeks to be able to predict and classify new observations, automating decision making from the data. Among these models, Ensemble’s methods are currently gaining strength, and these are generally based on the combination of several models in order to generate a single more efficient final model. The purpose of this talk is to present one of the most famous and used models - Adaptive Boosting.

Mateus Maia

Master’s Student in Statistics

My research interests include machine learning, statistical learning, ensemble methods and data-driven solutions to real world problems.