剧情简介：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 reg...(展开全部)
作者：Sergios Theodoridis
出版社：Academic Press
ISBN：9780128188033
