Introduction to Machine Learning

DutiesMust be able to be physically present regularly (2 days a week at minimum!) on the UTM campus to lead weekly labs/tutorials, office hours, meetings with the instructor, etc. Applicants must explicitly indicate their in-person availability, not remote availability in the application system. Applicants who do not meet these availability requirements will not be considered. Most positions will require TAs to be able to commute regularly to the UTM campus to lead weekly labs. Other duties include office hours, marking assignments, tests and exams, holding office hours, and answering student questions on Piazza. Labs will be graded weekly, so there is an expectation to be able to turn around ~3 hours of grading in ~5 days on a weekly basis. Minimum Qualifications Good understanding of basic Machine Learning methods (e.g., cross-validation, linear regression, logistic regression, decision trees, naive Bayes, gradient descent, neural nets, mixture of Gaussians, ensemble methods, PCA, re...