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Spring 2022 Industrial Engineering and Operations Research E4525 section 001
MACHINE LEARNING FE & OPR

Call Number 12639
Day & Time
Location
F 10:10am-12:40pm
614 Schermerhorn Hall [SCH]
Points 3
Grading Mode Standard
Approvals Required None
Instructor Christian Kroer
Type LECTURE
Method of Instruction In-Person
Course Description MS IEOR students only. Introduction to machine learning, practical use of ML algorithms and applications to financial engineering and operations. Supervised learning: regression, classification, resampling methods, regularization, support vector machines (SVMs), and deep learning. Unsupervised learning: dimensionality reduction, matrix decomposition, and clustering algorithms.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 90 students (120 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4525
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4525E001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34