Machine Learning

Abstract

Machine learning methods are todays widely used in many applications as web page ranking, emails spam detection, energy models and forecasts...Over the past two decades, machine learning has become a key player for smart data analysis. The purpose of this course is to provide an overview of the principal methods of machine learning to implement predictive models for a wide range of applications. The successive lessons will present the theoretical settings of machine learning in the regression and in the classification framework and also in the clustering framework and the implementation of these methods on real applications using the R software.