Statistical learning theory

Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.

Source: Wikipedia — Statistical learning theory (CC BY-SA 4.0)