Machine Learning in Water Treatment

for control and optimization. Fundamentally, the book explains how machine learning models are used in water treatment system control, optimization, and predictive modeling. Readers will learn how to take advantage of machine learning algorithms' potential for real-time treatment process optimization, quality issue identification, and water pollutant level prediction through a thorough investigation of data collection, preprocessing, and model creation. Case studies and real-world applications provide insightful information about the application of machine learning technologies in a variety of scenarios. With its unique combination of theoretical understanding and real-world applications, this book is an invaluable tool for understanding how water quality management is changing in the age of data-driven decision-making. [Publisher's Text]

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