Projects in Unsupervised Machine Learning
Exam
Year | Semester | Date | Period | Language | In charge |
---|---|---|---|---|---|
2011 | spring | 14.03-29.04. | 4-4 | English | Michael Gutmann |
Ilmoittautuminen tälle kurssille alkaa tiistaina 22.2. klo 9.00.
Registration for this course starts on Tuesday 22nd of February at 9.00.
Information for international students
Everything will be in English.
General
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The projects will be in the form of computer assignments where you will solve some practical problems using methods that are taught in the course Unsupervised Machine Learning. To get an idea of what kind of problems you will solve, have a look at the computer assignments from last year's course.
Part of the exercise classes of the course Unsupervised Machine Learning will be used to discuss the computer assignments.
We will have three assignments, with the following topics:
- principal component analysis (PCA), dimension reduction and factor analysis
Handed out: Fr April 1. - independent component analysis (ICA)
Handed out: Thu April 14 - clustering and projection methods
Handed out: Fr April 29
You will have two weeks time for each assignment which means that you will need to hand in the last assignment two weeks after the lecture has finished (see schedule above).
Completing the course
For every computer assignment, you will need to:
- Implement some methods from the course Unsupervised Machine Learning.
- Write a report where you present and discuss your solution.
The grade will be based on the reports, so make them nice and enjoyable to read.
Literature and material
Assignments:
- First assignment: handout, data for third exercise (1.2MB), matlab script to visualize images, R script to visualize images (taken from intro to machine learning course).
Due : So April 17, midnight. - Second assignment: handout, data for third exercise (5.2MB), Typos, comments and corrections
Due : Mo May 2, noon