Mathematical Foundations for Supervised Learning
In this chapter the theoretical underpinning of supervised learning are discussed. The whole supervised machine learning process is explained from a more formal perspective as well as some underlying theories. The theories discussed include concepts such as PAC learnability and VC dimensions. The implications of these theories are discussed.