MSE 623Introduction to Machine Learning
- Units
- 0.50
- Level
- Graduate
- Faculty
- Engineering
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 6 of the last 7 terms. Winter 2027: scheduled, 1 lecture section. Spring 2027: schedule not out yet.
This course provides an introduction to the field of machine learning, with an emphasis on tools and algorithms that learn patterns from data. Topics covered may include data preparation, descriptive learning such as clustering, and predictive learning using classical methods such as regression and data-intensive methods such as deep learning. Students will read and present papers and complete a research project.
Prerequisites
None listed.
Antirequisites
Leads to
No course lists it as a requisite.
Fall 2026 sections
| Section | Class | Enrolled | Meets |
|---|---|---|---|
| LEC 001 | 5451 | 8 / 40 | Th 18:30–21:20 |
| TUT 101 | 5452 | 8 / 40 | T 17:30–18:20 |
Winter 2027 sections
| Section | Class | Enrolled | Meets |
|---|---|---|---|
| LEC 001 | 5197 | 0 / 50 | TTh 11:30–12:50 |
| TUT 101 | 5198 | 0 / 50 | W 08:30–09:20 |
Check it elsewhere for Fall 2026
- Graduate Calendar, Fall 2026The official entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Graduate Calendar
- Fall 2024
- Winter 2025
- Spring 2025 requisites changed
- Fall 2025
- Winter 2026
- Spring 2026
- Fall 2026 (shown here)
- Winter 2024 and earlier in the calendar archives