CSC2515 Fall 2005 - Assignments/Project

Unofficial grades are available here, along with a histogram.

Tentative Assignment/Project Schedule

  • Assignment 1, posted Oct4. (ps) (pdf)
    spam data: (matlab v7 format) (matlab v6 format) (zipped ascii) (feature names)
  • Assignment 1 due Oct 18 in class.

  • Assignment 2, posted October 25. (ps) (pdf)
    data: (zipped matlab v6 format) (zipped ascii)
    Note: the target value is the LAST column, the inputs are the first columns.
  • Assignment 2 due Nov 8 in class.

  • Assignment 3, posted November 16. (ps) (pdf)
    data in matlab format: (training data) (test data) (wordlist)
    data in matlab v6 format (huge): (training data) (test data) (wordlist)
    in gzipped ascii: (train) (test) (wordlist)
    NOTE: each line of the ascii files is of the form: N(i,j) i j
    THE DATA IS ALSO ON CDF IN the directory /u/roweis/public
    The paper on which this assignment is based:
    Lawrence Saul, Fernando Pereira, Aggregate and mixed-order Markov models for statistical language processing., EMNLP 1997. [pdf, 9pages]
  • Assignment 3 due Nov 29 in class.

  • Projects due 9:00am Dec. 19, by email.
    Send postscript or pdf files ONLY, do not send Word, Html or other formats.
    Project info sheet (ps) (pdf).
    A few suggestions for project ideas are here.
    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. Don't go over!

Marking Scheme

  • Weekly readings worth 1% each, on the honour system.
    Once you have done the weekly reading, follow this link:
    Online Reading Submission
    The system will make a record and add 1% to your grade.
  • 3 assignments worth 18% each.
  • 1 final project worth 33%.

Other Dates

  • September 25 - deadline to enrol for credit
  • November 6 - drop day

Collaboration Policy

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. In other words, you should always be able to answer, by yourself, the question "How did you get this answer?"

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.


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CSC2515 - Machine Learning || www.cs.toronto.edu/~roweis/csc2515/