Supervised Machine Learning

Abstract

Machine learning refers to a set of methodologies that allow computers to “learn” the relationship among numerical representations of data. In this Chapter, we focus on an important branch of machine learning, supervised machine learning, and introduce three widely used supervised learning methods, the Support Vector Machine, Random forest, and Gradient Boosting Machine. Python codes examples are included to show how to use these methods in practice.