Unlock the power of probabilistic machine learning for civil engineering with “Probabilistic Machine Learning for Civil Engineers.” Designed for students and professionals, this comprehensive guide demystifies key concepts and techniques without requiring advanced statistics or computer science knowledge. Explore supervised learning, unsupervised learning, and reinforcement learning through clear, step-by-step examples, illustrations, and practical exercises. Master essential topics like Bayesian estimation, Markov Chain Monte Carlo methods, regression, classification, clustering, and decision-making in uncertain environments. This essential resource from The Bookish Owl equips you to understand complex machine learning literature and apply cutting-edge methods to your civil engineering challenges. Published by The MIT Press.