Probabilistic Machine Learning: An IntroductionКНИГИ » ПРОГРАММИНГ
Название: Probabilistic Machine Learning: An Introduction Автор: 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.
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Probabilistic Machine Learning: An Introduction 
