CSC2515 Fall 2006 - Info
*** TUESDAYS 2-4PM (Room WI1017) ***
Course info sheets (ps)(pdf)
Instructor: Sam Roweis; email csc2515 at cs dot toronto dot edu
Tutors: Inmar Givoni, Roland Memisevic, Andriy Mnih;
email csc2515 at cs dot toronto dot edu
Please do NOT send Roweis or tutors email about the class
directly to their personal accounts.
They are not able to answer class email
except to csc2515 at cs dot toronto dot edu.
Lecture Times: Tuesdays 2-4pm
Lecture Location:Wilson Hall room 1017
First Lecture: September 12
Final lecture: December 1. (No lecture December 5.)
Tutorial Times: some Tuesdays, 4-5pm
Tutorial Location: Wilson Hall room 523
First tutorial September 19, last tutorial Nov 28.
Office hours: Tuesdays 4-5pm when no tutorial or by appointment, LP290F.
Prerequisite: none for DCS/ECE/STATS grads, instructor permission
otherwise; Load: 26L, 13T
class notes, original papers (assigned), chapters from course textbook
weekly readings worth 13% (honour system),
3 assignments worth 18% each, one project worth 33%
If you are not registered in the class, it is possible for you to
audit it (sit in on the lectures), but only if you get the
instructor's permission and follow some rules. See the audit page for more info.
Basic methods for classification, regression, clustering, time
series modeling, and novelty detection. These algorithms will
include K-nearest neighbours, naive Bayes, decision trees, support
vector machines, logistic regression, generalized additive models,
K-means, mixtures of Gaussians, hidden markov models, principal
components analysis, factor analysis and independent components
analysis. Methods of fitting models including stochastic gradient
and conjugate gradient methods, the Expectation Maximization
algorithm and Markov Chain Monte Carlo. The fundamental problem of
overfitting and techniques for dealing with it such as capacity
control and model averaging.
All the basic algorithms will be
implemented in Matlab, but prior knowledge of Matlab is not required.
Course Information |
Lecture Schedule/Notes |
CSC2515 - Machine Learning || www.cs.toronto.edu/~roweis/csc2515/