A Concise Introduction to Machine Learning

Machine learning techniques have gained significant prominence in diverse multidisciplinary research fields, encompassing computational modeling of aesthetics, emotion, and artistic style, among others. This chapter serves as a tutorial to provide researchers, who may have limited or no prior expertise in the machine learning community, with essential background knowledge. We commence by defining learning algorithms and subsequently explore fundamental concepts and principles underlying machine learning systems. Furthermore, we present a concise introduction to several typical and basic machine learning models. In order to cater to novice readers, particularly those without formal training in computing, machine learning, or statistical modeling, we deliberately refrain from extensive formula derivations. Given the pervasive utilization of machine learning in the modeling of aesthetics, emotion, and artistic style, grasping the fundamentals of machine learning becomes instrumental in comprehending recent research endeavors within these domains. By offering an overview, this chapter aims to spark interest and encourage readers to delve into more comprehensive and in-depth coverage of the fundamentals through relevant textbooks and recent research papers.