Machine Learning: A Bayesian and Optimization Perspective

by Sergios Theodoridis

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. It then progresses to more recent...

• Format: Hardcover
• Language: English
• ISBN: 0128188030
• ISBN13: 9780128188033
• Release Date: July 2020
• Publisher: Academic Press
• Length: 1160 Pages