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Spring 2020 Computer Science W4995 section 003

Call Number 12641
Day & Time
F 10:10am-12:00pm
327 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Bjarne Stroustrup
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 33 students (36 max) as of 3:39PM Tuesday, March 31, 2020
Subject Computer Science
Number W4995
Section 003
Division Interfaculty
Open To Schools of the Arts, Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, Global Programs, General Studies, SIPA, Journalism
Campus Morningside
Section key 20201COMS4995W003

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