This is a course for MSc level students that runs in semester 2. The course descriptor can be found here.
Important: PMR and MLPR are co-requisites for this course.
Lectures: Friday 14:00-15:50
You are expected to work through the lab material in your own time, but during the lab period you can ask questions and get help on the material in the lab tutorials.
The main aim of the labs will be to learn how to start visualising and working on a problem via Weka.
The weka lessons are available here. They start in week 3 and run through to week 6. They are Tues 15:10-17:00. This is a 2-hour session, so feel free to come at the time that suits you. See Theon or email the course's TA Stefanos Angelidis for more information.
A web discussion site is available via nb.mit.edu. You should receive an email about this.
These are put here for convenience, but are subject to significant changes.
Predictive Modelling II lecture slides.
Association Rules lecture slides, Web resources ROC Graphs: Notes and Practical Considerations for Data Mining Researchers by Tom Fawcett, Technical report HPL-2003-4.
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