Course outline

This course is aimed at 2nd year CS students, introducing the principles and practice behind Machine Learning algorithms. The prerequisite is the 1st year "Intro to Artificial Intelligence" course, and an ability to program well - we will be using Matlab, though you will be expected to pick up the language yourself.

Course Coordinators: Gavin Brown and Ke Chen

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NEW 23rd Dec 2009 - Sample Exam Questions with Model Answers
These questions pertain to the first part of the course (Gavin). See the questions, and model answers.

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Week 7 : Miniproject 2 has been posted.

The necessary files (main.m and datasets) are located in the directory /opt/info/courses/COMP20411/miniproject2. Also you can download those files from HERE.

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Week 2 : Miniproject 1 has been posted.

If you are without a CS login, you should get one ASAP, but for now, download the necessary files

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Week 1 : Download the Matlab tutorial, or if you've done that, try some tougher exercises.

If you found those two pretty easy, consider this.
Your COMP20010 exercise this week was to implement a Caesar Cipher.
I'm betting your code in Java was at least 2 classes and 40-50 lines of code.
I can do it in 3 lines in Matlab. Can you?

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