CS489/698 Winter 2018 - Introduction to Machine Learning
There will be five assignments, each worth 8% of the final mark (6% for CS698). Assignments are done individually (i.e., no team). Each assignment will have a theoretical part and a programming part.
The approximate out and due dates are:
A1: out Jan 8, due Jan 19 (11:59 pm)
A2: out Jan 22, due Feb 2 (11:59 pm)
A3: out Feb 12, due March 2 (11:59 pm)
A4: out March 5, due March 16 (11:59 pm)
A5: out March 19, due March 30 (11:59 pm)
On the due date of an assignment, the work done to date should be submitted electronically on the LEARN website; further material may be submitted with a 2% penalty for every rounded up hour past the deadline. For example, an assignment submitted 5 hours and 15 min late will receive a penalty of ceiling(5.25) * 2% = 12%. Assignments submitted more than 50 hours late will not be marked.
Problem: this data is a modified version of the Optical Recognition of Handwritten Digits Dataset from the UCI repository. It contains pre-processed black and white images of the digits 5 and 6. Each attribute indicates how many pixels are black in a patch of 4 x 4 pixels.
Format: there is one row per image and one column per attribute. The class labels are 5 and 6.
Parsing: if you use Matlab, you can load the datasets easily with the command "load dataX.csv".
Hamidreza Shahidi (h24shahi [at] uwaterloo [dot] ca) is the TA responsible for A1. He will hold special office hours to answer questions about A1 on Thursday Jan 18, 12-2pm in the AI lab (DC2306C). Pascal also holds regular office hours every Tuesday 1-2:30pm in DC2514.
Hamidreza Shahidi will hold special office hours on Thursday Feb 1, 12-2pm in the AI lab (DC2306C) to answer questions about the marking of assignment 1.
Dataset: use the dataset for K-nearest neighbours from Assignment 1.
Nicole McNabb (nmcnabb [at] uwaterloo [dot] ca) is the TA responsible for A2. She will hold special office hours to answer questions about A2 on Thursday Feb 1, 12-2pm in the AI lab (DC2306C). Pascal also holds regular office hours every Tuesday 1-2:30pm in DC2514.
Nicole MacNabb will hold special office hours on Monday Feb 12, 12-2pm in the AI lab (DC2306C) to answer questions about the marking of assignment 2.