LMP1210H: Basic Principles of Machine Learning in Biomedical Research
Who can attend
You must be registered in a graduate program to attend this course.
This course is open to all graduate students at the University of Toronto, provided you have pre-approval from your department and the course coordinators.
Course description
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 you with the fundamental knowledge of machine learning (ML).
During the course, you will acquire basic computational skills and hands-on experience to deploy ML algorithms using python. Students are expected to be familiar in python prior to taking this course.
You 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.
Communication
Students are encouraged to sign up to Piazza to join course discussions. If your question is about the course material and doesn’t give away any hints for the homework, please post to Piazza so that the entire class can benefit from the answer.
Please do not send the instructor or the TAs email about the class directly to their personal accounts. Use private messages on Piazza instead.
