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Machine Learning for Construction Projects: A Comprehensive Guide
Engels
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32.12
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Machine Learning for Construction Projects: A Comprehensive Guide is a book that provides a comprehensive overview of machine learning in the construction industry. Aimed at professionals in construction, engineering, architecture, and project management, the book explores applications of machine learning in various aspects of construction, such as project management, quality control, safety, sustainability, and risk management. The book begins by introducing the basic concepts and terminology of machine learning. It describes how machine learning algorithms work and how they can be applied to construction projects. The book then explores specific machine learning applications for construction projects, including predicting project costs and schedules, optimizing construction workflows, detecting defects and errors, improving safety, and enhancing project sustainability. The latter half of the book delves into case studies that demonstrate how machine learning has been successfully applied in construction projects.
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