Machine Learning (COMP-652 and ECSE-608)
Fall 2018

News

The first class takes place on Wednesday, September 5th, 2018, at 2:35 in the Wong Engineering Building 1020.


General Information

Where: Wong Engineering Building 1020.

When: Mondays and Wednesdays, 2:35-3:55pm.

What: The goal of this class is to provide an overview of the state-of-art algorithms used in machine learning. The field of machine learning is concerned with the question of how to construct computer programs that improve automatically with experience. In recent years, many successful applications of machine learning have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to autonomous vehicles that learn to drive on public highways, and computer vision programs that can recognize thousands of different object types. At the same time, there have been important advances in the theory and algorithms that form the foundation of this field. During this course, we will study both the theoretical properties of machine learning algorithms and their practical applications.


Instructors

Riashat Islam
School of Computer Science
Office: McConnell Engineering building, TBA
Office Hours: 4pm-5pm, Mondays and/or Wednesdays (if Riashat is giving the lecture on that day). Meetings at other times by appointment only
E-mail: riashat.islam[at]mail.mcgill.ca

Audrey Durand
School of Computer Science
Office: McConnell Engineering building, room 104N (north wing, left from elevators)
Office Hours: 4pm-5pm, Mondays and/or Wednesdays (if Audrey is giving the lecture on that day). Meetings at other times by appointment only
E-mail: audrey.durand[at]mcgill.ca


Teaching assistants

Koustuv Sinha
School of Computer Science
Office Hours: 4pm-5pm, Thursdays, in MC 108 (McConnell). Meetings at other times by appointment only
E-mail: koustuv.sinha[at]mail.mcgill.ca

Pierre Thodoroff
School of Computer Science
Office Hours: 10am-11am, Tuesdays, in MC 106 (McConnell). Meetings at other times by appointment only
E-mail: pierre.thodoroff[at]mail.mcgill.ca

Nishanth Anand
School of Computer Science
Office Hours: 11am-12pm, Wednesdays, in MC 107 (McConnell). Meetings at other times by appointment only
E-mail: nishanth.anand[at]mail.mcgill.ca


References

There is no required textbook. However, there are several good machine learning textbooks describing parts of the material that we will cover. The schedule will include recommended reading, either from these books, or from research papers, as appropriate. Lecture notes and other relevant materials are linked to the lectures web page. Assignments are linked to the assignments web page

MyCourses will be used only for bulletin board, discussion groups and assignment submission and grading.