ÐÓ°ÉÖ±²¥

BIOSTATS 6017EX - Machine Learning

External - Semester 2 - 2021

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).

The ÐÓ°ÉÖ±²¥ of Adelaide is committed to regular reviews of the courses and programs it offers to students. The ÐÓ°ÉÖ±²¥ of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.