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

Spring 2019 Computer Science W4771 section 001
MACHINE LEARNING

Call Number 19903
Day & Time
Location
MW 1:10pm-2:25pm
451 Computer Science Building
Points 3
Approvals Required None
Instructor Nakul Verma
Type LECTURE
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 Computer Science
Enrollment 0 students (110 max) as of 12:29AM Saturday, December 15, 2018
Subject Computer Science
Number W4771
Section 001
Division Interfaculty
Open To Barnard
Campus Morningside
Section key 20191COMS4771W001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 12/15/18 00:29    web update 12/15/18 07:35