In this section, we will provide an overview of some of the typical methods used inside the field of machine learning that currently finds more and more applications in the analysis of video game players.
Machine learning was initially a branch of artificial intelligence that was dedicated to the realization of systems that can learn from large data sets. The idea is to assimilate and create rules according to the observed data and then to use them in order to make predictions.
According to these objectives, this field has produced lots of algorithms over the years. These algorithms can now be re-used for other applications, such as data analysis.
We will examine how those algorithms are classified.