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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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch. Nº de ref. del artículo: 9786207485925
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, t. Nº de ref. del artículo: 1656236201
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Nº de ref. del artículo: 9786207485925
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Machine Learning for Construction Projects: A Comprehensive Guide | Machine Learning, Construction Project | Balakrishnan Subramanian (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207485925 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 129183464
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9786207485925
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