Registration open for T-CAIREM's online instructor-led course (Deadline: June 24)
About the Professional Development Courses
From Electronic Health Records and medical imaging to wearable devices and remote monitoring, technology enables healthcare providers to collect and examine vast amounts of data to gain insights. As data and artificial intelligence (AI) become increasingly pervasive in medicine, it has become critical for health professionals and clinicians to develop a strong understanding of data science and develop the skills to build and evaluate their own machine learning models.
Over the past year, T-CAIREM has offered three sequential courses. In this final standalone 5-week professional development courses, participants will learn more about the fascinating intersection of data science and medicine. This online, instructor-led course will provide learners with an introduction to applying machine learning to real-world datasets.
Course Delivery
This course has assignments and takes place over a 5-week window. It will be taught via online, instructor-led lessons using the University of Toronto's Quercus system. Students will be able to reach out and ask questions through Quercus and live office hours with the instructor.
Participants who complete the required assignments in a timely fashion will receive a Certificate of Completion for each course.
Course 3: Machine Learning
Participants will learn how to train and evaluate machine learning models on real-world datasets in this 5-week course.
Course Dates: July 2 (Wed.) to July 30 (Wed.) from 11:00am to 1:30pm EDT
What you'll learn in the Machine Learning course
Meet course instructor Alex Mariakakis!
Course 3 Objectives
• To learn the terminology associated with machine learning (e.g., train-test splits, cross-validation)
• To learn how to execute an end-to-end machine learning pipeline using the scikit-learn library
• To learn various techniques for inspecting how a machine-learning model makes its decisions