CS/CMPE 535 - Machine Learning

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General Information

Instructor: Dr. Asim Karim
E-mail: akarim at lums
Office hours: 10.30 - 12.30 MW
Office: 429
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

Description

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.

Textbook

Recommended Supplementary Text

 

Announcements

December 18
Welcome to the course. Regularly check this page for announcements and updates. Check the resource page for web links on related topics.
 

December 19
Assignment 1 has been posted. It is due by 6 PM on Dec. 28.

January 1
Solution to quiz 1 and 2 posted.

January 2
Assignment 2 has been posted. It is due on January 23. Start working on it immediately.
Solution to assignment 1 posted.

January 5
The handout for assignment 2 has been updated. Please download it again.
Solution to quiz 3 posted.
There will be no class on Saturday.

January 24
Midterm exam solution posted.
Assignment 2 is due by midnight on Jan. 25.

February 1
Assignment 3 has been posted. It is due next Tuesday (Feb. 7).

February 6
Solution to quiz 4 and 5 posted.
Assignment 4 posted. It is due on Feb. 16 (Thursday).

 


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