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 goal is to establish an essential foundation for graduate students to take the first steps in computational research in medicine.
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. You will learn the current practices and applications of ML in medicine, and understand what ML can and cannot do for medicine.
Introduction to basic principles and current practices of machine learning in biomedical research.
Focus on the fundamental ML algorithms with applications in biomedical data
The application of unsupervised learning in genomic data
The application of supervised learning for medical images.
