Machine Learning: A Bayesian and Optimization Perspective

Machine Learning: A Bayesian and Optimization Perspective, SecondEdition, gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization techniques – together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models.

The book builds carefully from the basic classical methods to the most recent trends, with chapters written to be as self-contained as possible, maki...