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Название: Machine Learning: A Bayesian and Optimization Perspective, 2nd Edition
Автор: Sergios Theodoridis
Издательство: Academic Press
Год: 2020
Формат: PDF
Страниц: 1146
Размер: 22,8 Mb
Язык: English
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.
Автор: Sergios Theodoridis
Издательство: Academic Press
Год: 2020
Формат: PDF
Страниц: 1146
Размер: 22,8 Mb
Язык: English
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.