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Fall 2000

Machine Learning

Frank Hoffmann

Course number: 2D5362
Start: Fall 2000, 2nd Period:
Time & Location:
Tuesdays 13:30-15:00 (21/11 BB4) (28/11 BB4) (5/12 BB4) (12/12 OP-salen)
Thursday 13:30-15:00 (23/11 BB4) (30/11 BB2) (7/12 BB2)
Place: CVAP, Fiskartopsvaegen 15 A, lecture rooms BB2/BB4 directions
Credits: 3-5 units

Synopsis:
Machine learning is concerned with computer programs that automatically improve their performance with past experiences. Machine learning draws inspiration from many fields, artificial intelligence, statistics, information theory, biology and control theory.

The objective of this course is to introduce the student to the basic theory and algorithms that form the foundation of machine learning. The course will cover the following topics

Organisation:
The course is largely self-contained and has no prerequisites other than basic knowledge of Computer Science and programming in C/C++. To earn units, a student would be expected to submit two to three homework assignments and a final term project. The number of units granted for the course depends on the scope and complexity of the term project. The project involves the implementation of a machine learning algorithm and its application to a specific problem. The results of the project are to be documented in a report. There will be no final examination.

If you intend to participate in this course send an email to Frank Hoffmann

Lectures & Homeworks: