Summer 2023 Computer Science W4771 section V02

MACHINE LEARNING

Call Number 12561
Points 3
Grading Mode Standard
Approvals Required None
Instructor Nakul Verma
Type LECTURE
Method of Instruction On-Line Only
Course Description

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
Subterm 07/03-08/11 (B)
Department Video Network
Enrollment 4 students (99 max) as of 9:07PM Monday, April 29, 2024
Subject Computer Science
Number W4771
Section V02
Division Interfaculty
Campus Video Network
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20232COMS4771WV02