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Machine Learning in Civil Engineering by Md Kaiser Hamid is a document available to read on EtoBox.

What is Machine Learning in Civil Engineering about?

This document discusses applying machine learning techniques to solve civil engineering problems. It argues that successful applications require using multiple machine learning methods to address complexity, as well as carefully following a seven-step application process. The process involves contextualizing machine learning modeling within the specific engineering problem, organizational constraints, and human factors involved. The document outlines this seven-step contextualized machine learning modeling

Author

Md Kaiser Hamid

Language

EN