"A Roadmap to Implement Machine Learning in Construction Industry" is a comprehensive guide that explores the application of machine learning in the construction industry. Written by industry experts, this book provides a clear roadmap for implementing machine learning techniques in construction projects, from planning to execution. The book covers a range of topics related to machine learning, including data collection and processing, feature selection, algorithm selection, and model training and validation. It also examines the use of machine learning for various construction activities, such as project planning, risk management, quality control, and equipment maintenance. Through practical examples and case studies, the authors demonstrate the benefits of machine learning in the construction industry, such as increased efficiency, improved quality, and reduced costs. They also discuss the challenges and considerations that need to be taken into account when implementing machine learning, such as data privacy, data quality, and the need for skilled personnel.
