STA 4273H (Fall 2012): Statistical Machine Learning - Assignments/Project

Assignment/Project Schedule

Assignment 1: Due Oct 1, 2012, 2pm at start of class.
Assignment 2: Due Oct 15, 2012, 2pm at start of class.
digitstrain.txt , and digitstest.txt .
If you are using Matlab you can load the file using textread command:
[data] = textread('digitstrain.txt','','delimiter',',');
Assignment 3: Due Oct 29, 2pm.
a3train.txt , and a3test.txt .
Brief 5-minute presentations of projects will take place on Nov 19. You need to send me 6-7 slides in pdf formtat describing your project.

Deadline: Sunday Nov 17, 2013. Submit your slides by e-mail: rsalakhu@utstat.toronto.edu
You should have your name, and project title on the first slide.
Projects Proposals Due Nov 5, 2013
Send 1-page description of the project to me via e-mail: rsalakhu@utstat.toronto.edu
Projects due Dec 3, 2013

Project info sheet pdf.
NIPS style file and example paper for latex (sty) (tex)
and formatting guide for other packages (pdf) (ps).
Please note that 8 pages is a hard upper limit on length. Do not go over.

Marking Scheme

3 assignments worth 60%.

1 final project worth 40%.

Collaboration Policy

The assignments are to be done by each student individually. You may discuss the general idea of the questions with anyone you like, but your discussion may not include the specific answers to any of the problems.

Late Work

Late assignments/projects are not accepted except in the case of an official Student Medical Certificate or a written (not email) request submitted at least one week before the due date and approved by the instructor.

STA 4273H (Fall 2013): Research Topics In Statistical Machine Learning || http://www.utstat.toronto.edu/~rsalakhu/sta4273_2013/