Summer 2025 Computer Science W4771 section 001

MACHINE LEARNING

Call Number 10755
Day & Time
Location
TR 1:00pm-4:10pm
To be announced
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
Subterm 07/07-08/15 (B)
Department Computer Science
Enrollment 21 students (120 max) as of 9:05PM Wednesday, April 2, 2025
Subject Computer Science
Number W4771
Section 001
Division Interfaculty
Section key 20252COMS4771W001