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Machine Learning for Civil and Environmental Engineers: A Practical Approach

Description: Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality, and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problemsDetails explainable and causal methods for practical engineering problemsDatabase development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysisA framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.

Price: 78.24 USD

Location: East Hanover, NJ

End Time: 2024-11-12T12:32:38.000Z

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Machine Learning for Civil and Environmental Engineers: A Practical ApproachMachine Learning for Civil and Environmental Engineers: A Practical Approach

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Return shipping will be paid by: Buyer

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Item must be returned within: 60 Days

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EAN: 9781119897606

UPC: 9781119897606

ISBN: 9781119897606

MPN: N/A

Book Title: Machine Learning for Civil and Environmental Engin

Number of Pages: 608 Pages

Publication Name: Machine Learning for Civil and Environmental Engineers : A Practical Approach to Data-Driven Analysis, Explainability, and Causality

Language: English

Publisher: Wiley & Sons, Incorporated, John

Publication Year: 2023

Item Height: 1.7 in

Subject: Intelligence (Ai) & Semantics, Databases / General, Civil / General

Item Weight: 54.5 Oz

Type: Textbook

Subject Area: Computers, Technology & Engineering

Item Length: 11 in

Author: M. Z. Naser

Item Width: 8.8 in

Format: Hardcover

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