Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cutting-edge machine learning techniques that can improve water quality management. The book explores wastewater treatment and water purification, providing analysis of machine learning methods used to solve problems with water quality control, including data collection, preprocessing, model creation, and real-world case studies demonstrating applications in control, optimization, and predictive modeling.