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Spring 2020 Computer Science W4995 section 012
TOPICS IN COMPUTER SCIENCE
APPLIED DEEP LEARNING

Call Number 20023
Day & Time
Location
R 7:00pm-9:30pm
402 Chandler
Points 3
Grading Mode Standard
Approvals Required None
Instructor Joshua B Gordon
Type LECTURE
Method of Instruction Classroom
Course Description Prerequisites: any introductory course in statistics.
This course introduces fundamental machine learning models, such as logistic regression, decision trees, ensemble algorithms, support vector machine, and clustering analysis, with special emphasis on their learning capacity to solve financial problems. Some of the financial applications explored are algorithmic trading, portfolio optimization, and risk management. This hands-on course, with practical exercises based on Python, is appropriate for students from economics, business, science, and engineering interested in machine learning and finance.
Web Site Vergil
Department Computer Science
Enrollment 135 students (130 max) as of 3:39PM Tuesday, March 31, 2020
Status Full
Subject Computer Science
Number W4995
Section 012
Division Interfaculty
Open To Architecture, Schools of the Arts, Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, SIPA, Journalism
Campus Morningside
Section key 20201COMS4995W012

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SIS update 03/31/20 15:39    web update 03/31/20 21:19