Directory of Classes
NOTE: Course information changes frequently. Please re-visit these pages periodically for the most recent and up-to-date information.

Spring 2020 Computer Science W4995 section 005
TOPICS IN COMPUTER SCIENCE
DEEP LEARNING

Call Number 12643
Day & Time
Location
MW 4:10pm-5:25pm
1127 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Iddo Drori
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 68 students (80 max) as of 3:39PM Tuesday, March 31, 2020
Subject Computer Science
Number W4995
Section 005
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 20201COMS4995W005

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 03/31/20 15:39    web update 03/31/20 21:19