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Spring 2019 Industrial Engineering and Operations Research E4525 section 001
MACHINE LEARNING FE & OPR
MACHINE LEARNING OR & FE

Call Number 74094
Day & Time
Location
F 10:10am-12:40pm
501 Northwest Corner Building
Points 3
Approvals Required None
Instructor Manuel Balsera
Type LECTURE
Course Description Prerequisites: optimization, applied probability, statistics or simulation. Introduction to Machine Learning, practical implementation ML algorithms and applications to financial engineering and operations. Probabilistic Tools of Machine Learning, Learning theory, Classification, Resampling Methods and Regularization, Support Vector Machines (SVMs), Unsupervised Learning, Dimensionality Reduction and Clustering algorithms, EM Algorithm, and Neural Networks and Deep Learning
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 151 students (150 max) as of 12:29AM Saturday, December 15, 2018
Status Full
Subject Industrial Engineering and Operations Research
Number E4525
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering and Applied Science: Graduate
Campus Morningside
Section key 20191IEOR4525E001

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