Machine Learning in Civil Engineering delves into the transformative impact of machine learning on the field of civil engineering. Covering key topics such as regression for predictive analysis, classification for risk identification, and clustering for data grouping, this book bridges technical concepts with real-world applications. Explore case studies in predictive maintenance, construction safety, offering practical insights for engineers, researchers, and students. A must-read for those seeking to leverage data-driven innovation in modern civil engineering.