machine learning: a bayesian and optimization perspective

This tutorial text offers a comprehensive perspective on machine learning, integrating both probabilistic and deterministic approaches, rooted in optimization techniques, alongside Bayesian inference principles utilizing a hierarchy of probabilistic models. The book systematically introduces major machine learning methods developed across various disciplines such as statistics, statistical and adaptive signal processing, and computer science. [Read More]