Instructor: Dr. Asim Karim
E-mail: akarim at lums
Office hours: 11.30 - 13.00 MW
Office: 429
Phone ext: 4429
Class coordinates: TR 10.15 - 11.30 in A-8
TA: Sajed Hafeez Malik (sajed at lums)
TA office hours: TBA
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 inference of decision trees, computational learning methods, Bayesian learning methods, and reinforcement learning. 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 14
Assignment 1 has been posted. It is due on Dec. 26.
January 4
Assignment 2 has been posted. It is due next Thursday.
January 11
Solutions to quiz 1, 2, and 3 have been posted.
Last year's midterm exam posted on Solution page.
January 14
Assignment 3 posted. It is due on Jan. 26.
February 8
Website updated. EM algorithm tutorial added to handouts and solutions to
quizzes posted.
February 16
Solution to midterm exam posted. Last year's final exam posted as a sample.
February 20
Assignment 4 solution posted. Quiz 4 solution updated.
February 24
Final exam solution posted.