Название: Probabilistic Machine Learning: An IntroductionАвтор: Kevin P. Murphy
Издательство: The MIT Press
Год: 2022
Формат: PDF
Страниц: 854
Размер: 50,4 Mb
Язык: English
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation.