Instructor: Dr. Asim Karim
E-mail: akarim at lums
Office hours: 11.40 - 13.10 MW
Office: 429
Phone ext: 4429
Class coordinates: 10.15 - 11.30 MW in SC-1/A-16
TA: Bilal A. Bajwa (05030119 @ lums)
TA office hours: 16.00 to 18.00 TR in Lab 1/Lab 2
Machine learning investigates the mechanisms by which knowledge is acquired through learning. It studies adaptive computational systems that improve their performance with experience. Machine learning methods have been applied to a diverse number of problems ranging from learning strategies for game playing to recognizing human speech and learning to drive an autonomous vehicle. This course covers the primary approaches to machine learning, including inductive learning of decision trees, computational learning methods, Bayesian learning methods, and graphical models. For details, please see the course outline.
December 4
Welcome to the course. Regularly check this page for announcements and updates.
Check the resource page for web links on related topics.
December 17
Assignment 1 has been posted. It is due on Dec. 31.
Solution to quiz 1 posted.
January 1
Assignment 1 is now due by 11.59 PM on Jan. 3.
January 10
Assignment 2 has been posted. It is due on Jan. 21.
January 12
Solution to quiz 2 posted.
January 18
Solution to quiz 3 posted.
January 30
Solution to midterm exam posted.
February 1
Assignment 3 has been posted. It is due on Feb. 11.
February 14
Assignment 4 has been posted. It is due on Feb. 21.
February 17
Solution to quiz 4 posted.
February 24
Solution to quiz 5 posted.