Instructor: Dr. Asim Karim
E-mail: akarim at lums
Office hours: 10.30 - 12.30 MW
Phone ext: 4429
Class coordinates: TR 14.00 - 15.15 in A-3
TA: Tahir Ejaz (tahire @ lums) and Saqib Ashfaq (sashfaq @ lums)
TA office hours: Saqib: 3.30 to 5.30 TR; Tahir: 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.
Welcome to the course. Regularly check this page for announcements and updates. Check the resource page for web links on related topics.
Assignment 1 has been posted. It is due by 6 PM on Dec. 28.
Solution to quiz 1 and 2 posted.
Assignment 2 has been posted. It is due on January 23. Start working on it immediately.
Solution to assignment 1 posted.
The handout for assignment 2 has been updated. Please download it again.
Solution to quiz 3 posted.
There will be no class on Saturday.
Midterm exam solution posted.
Assignment 2 is due by midnight on Jan. 25.
Assignment 3 has been posted. It is due next Tuesday (Feb. 7).
Solution to quiz 4 and 5 posted.
Assignment 4 posted. It is due on Feb. 16 (Thursday).