Machine Learning 2nd Edition

A Bayesian and Optimization Perspective

Theodoridis
Elsevier S&T
1160 pages
ISBN-13: 9780128188033
April 2020

Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classification. The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees.