Course Overview
This course is intended for graduate students in Health Sciences to learn the basic principles of machine learning in biomedical research and to build and strengthen their computational skills of medical research.
The course aims to equip students with the fundamental knowledge of machine learning (ML). During the course, the students will acquire basic computational skills and hands-on experience to deploy ML algorithms using python. The students will learn the current practices and applications of ML in medicine, and understand what ML can and cannot do for medicine. The goal of this course to establish an essential foundation for graduate students to take the first steps in computational research in medicine.
| Class Location | Myhal 320 |
|---|---|
| Class Hours | Wednesday 11:00 AM - 1:00 PM |
| Instructor | Dr. David Pellow & Prof. Rahul G. Krishnan |
| TA | Gerd Bizi |
| Office Hours | Wednesday 1:00 - 2:00 PM. MSB 6205A |
| Piazza Link | https://piazza.com/utoronto.ca/winter2026/lmp1210 |
<aside> 📢 Announcements (in order from newest to oldest)
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B: Pattern Recognition and Machine Learning (by Bishop)
DL: Deep Learning (Goodfellow at al., 2016)
MK: Information Theory, Inference, and Learning Algorithms (MacKay, 2003)
RG: Lecture notes by Roger Grosse
Assignments submitted after the due date will be penalized at a rate of 10% per day, including weekends. No assignments will be accepted more than five days late unless a documented medical or personal emergency is provided.
All official communication for the course will be conducted using Piazza. For general questions related to course content, please post publicly to benefit all students. For private inquiries, please set post visibility to private for the instructors and TAs.