Machine Learning

ML Q4/2007

Announcements

25/05/07: There will be a Q&A-session on project 3, exam etc. on June 6, 12-13, in Coll O2, in the BiRC building (the red building close to the Steno museum).
21/05/07: Project 3 (mandatory) is available.
21/05/07: Exam questions are available.
07/05/07: The oral exam will be on June 19-20 in Shannon-164. More info later.
02/05/07: Project 2 (mandatory) is available.
01/05/07: The lecture on May 11 is moved to May 9, 16:15-17:00, in Shannon-157.
18/04/07: Project 1 (non-mandatory) is available.
21/03/07: Course schedule available.
02/03/07: Information about book available.

About

The field machine learning concerns techniques for programming a computer to learn from data. A traditional program can be seen as implementing a number of concrete rules which specifies how input is transformed to output; in constrast a machine learning program implements a number of rules specifying how the program should make its own rules for transforming input to output from examples. In situations where the transformation rules are complex (or unknown) the machine learning approach can be very succesfull.

After the course the student should know about and be able to explain:

Classification and regression problems
Decision trees
Artificial neural networks
Hidden Markov models, EM algorithms and Baum-Welch.

Read the complete course description

Schedule

Lectures take place:

Tuesday 09.15-11.00, Shannon-157.
Friday 13.15-14.00, Shannon-157.

First lecture is on Tuesday, April 10 in Shannon-157.

Literature

We will use the following book, which will be available in the GAD bookstore:

	Christopher M. Bishop
	Pattern Recognition and Machine Learning
	Springer, 2006
	ISBN: 0387310738

Additional research papers will be handed out in class or made available for download.

Exam and Projects

To participate in the final oral exam each student must complete all mandatory projects.

The final exam is an individual oral exam (20 min) which includes a discussion related to one of the mandatory projects followed by a general discussion of related topics. You should prepare a 13-15 minutes presentation for each exam question. See the list of exam questions for details. The exam curriculum is every reference listed under "Reading material" on the weekly schedule for Week 1-7, and the descriptions of the mandatory projects.

The exam dates are June 19-20, 2007. The exam will take place in Shannon-164 according the exam list. (If your name is not on the list, and you expected it to be, then let us know.)

Lecturer

If you have any comments or questions related to the course, do not hesitate to contact one of the lectures:

Thomas Mailund

Office: 090.224B
Phone: +45 8942 3149
E-mail: mailund [at] daimi.au.dk

Christian Nørgaard Storm Pedersen