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
Texts and Reading Material
The course textbook is Pattern recognition and machine learning by Christopher Bishop.
Other recommended texts on statistical machine learning
Last modified: 2 January 2014 by