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Spring 2021 Computer Science W4771 section V01
MACHINE LEARNING

Call Number 17804
Points 3
Grading Mode Standard
Approvals Required None
Instructor Nakul Verma
Type LECTURE
Method of Instruction On-Line Only
Course Description Prerequisites: Any introductory course in linear algebra and any introductory course in statistics are both required. Highly recommended: COMS W4701 or knowledge of Artificial Intelligence. Topics from generative and discriminative machine learning including least squares methods, support vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models and hidden Markov models. Algorithms implemented in MATLAB.
Web Site Vergil
Department Video Network
Enrollment 7 students (99 max) as of 8:04PM Friday, April 9, 2021
Subject Computer Science
Number W4771
Section V01
Division Interfaculty
Open To Columbia Video Network
Campus Video Network
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20211COMS4771WV01

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SIS update 04/09/21 20:04    web update 04/09/21 21:23