Introduction to classical machine learning algorithms, including linear regression, logistic regression, decision trees, and neural networks, and their applications to Civil Engineering practices, such as construction safety, building energy conservation, and traffic simulation. Other topics at the discretion of the instructor. [3-0-0] Prerequisite: CIVL 300. This course is not eligible for Credit/D/Fail grading.
Introduction to classical machine learning algorithms, including linear regression, logistic regression, decision trees, and neural networks, and their applications to Civil Engineering practices, such as construction safety, building energy conservation, and traffic simulation. Other topics at the discretion of the instructor. [3-0-0] Prerequisite: CIVL 300. This course is not eligible for Credit/D/Fail grading.
