BIOSTATS 6017EX - Machine Learning

External - Semester 2 - 2023

This course covers modern machine learning methods particularly useful for large and complex health data Content includes: Linear Regression and K -Nearest Neighbours; Classification (logistic regression, linear discriminant analysis); Resampling Methods (Cross-Validation, Bootstrap); Model Selection and Regularization (subset selection, shrinkage methods, dimension reduction methods); Beyond Linearity (fractional polynomials, basis functions, splines, generalized additive models); Tree-Based Methods (decision trees, bagging, random forests, boosting).

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