Course Description and Prerequisities

COMP 540 is about learning models from data. The course is designed to give you a foundational understanding of modern algorithms in learning and data mining, as well as hands-on experience with its applications in science and engineering.

The course assumes prior background in discrete mathematics, algorithms, linear algebra, probability and statistics as well a facility with programming. COMP 440 is highly recommended as a pre-requisite. COMP 540 can be taken as grounding for future research in machine learning or to gain familiarity with machine learning methods for application in other fields.

Texts and Reading Material

The course textbook is Pattern recognition and machine learning by Christopher Bishop. Other recommended texts on statistical machine learning include:

Last modified: 2 January 2014 by
Devika Subramanian