内容简介
书名:Probabilistic Machine Learning: An Introduction出版社:MIT Press
作者:Kevin P. Murphy
出版年份:2022
电子书格式: pdf
简介:Dive into the world of probabilistic machine learning with Kevin P. Murphy’s comprehensive guide. This book provides a thorough introduction to the fundamental concepts and techniques, covering topics such as Bayesian networks, graphical models, and various machine learning algorithms. Ideal for students and professionals seeking a strong foundation in this rapidly evolving field. Learn to build robust and reliable machine learning models that leverage probabilistic reasoning. Master key concepts and practical applications to advance your expertise in AI and data science. Gain valuable insights into model selection, inference, and learning through real-world examples and case studies.
ISBN:9780262369305, 02623
