内容简介

书名:Probabilistic Machine Learning: An Introduction
出版社:The MIT Press
作者:Kevin P. Murphy
出版年份:2021
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 deep learning. Ideal for students and professionals alike, this text offers clear explanations, practical examples, and a wealth of resources to help you master this crucial field of artificial intelligence. Gain a strong theoretical foundation and practical skills to apply probabilistic models to real-world problems. Learn from a leading expert in the field and advance your career in machine learning.
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