Spring 2023 Industrial Engineering and Operations Research E4525 section 001

MACHINE LEARNING FE & OPR

Call Number 11493
Day & Time
Location
TR 1:10pm-2:25pm
614 Schermerhorn Hall [SCH]
Points 3
Grading Mode Standard
Approvals Required None
Instructor Farid Alizadeh
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 45 students (120 max) as of 4:06PM Thursday, March 28, 2024
Subject Industrial Engineering and Operations Research
Number E4525
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate
Campus Morningside
Section key 20231IEOR4525E001