PAC Learning: Fundamental Concepts and Upper Bound

This chapter focuses on the fundamental concepts of PAC Learning, which include the training error (Empirical Risk), the generalization error (Population Risk), the research objective of statistical machine learning (Excess Risk), and the PAC Learning upper bound.