Spring 2024 Computer Science W4771 section 002

MACHINE LEARNING

Call Number 12093
Day & Time
Location
TR 2:40pm-3:55pm
451 Computer Science Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Nakul Verma
Type LECTURE
Method of Instruction In-Person
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
Department Computer Science
Enrollment 78 students (110 max) as of 1:06PM Sunday, June 16, 2024
Subject Computer Science
Number W4771
Section 002
Division Interfaculty
Campus Morningside
Section key 20241COMS4771W002