STAT 6500: Statistical Machine Learning

October 8, 2018
Statistical models and algorithms for supervised and unsupervised learning; linear and logistic regression; classification and LDA; cross-validation and bootstrap; variable selection; ridge and LASSO penalization; smoothing splines and GAMs; SVM and kernels; CART and random forests; bagging; boosting; feed-forward and convolutional neural networks; k-means clustering and Gaussian mixtures; PCA. Prereq: 6450, or permission of instructor. Not open to students with credit for 7620.
Credit Hours: 

Recent Syllabi

SP19 STAT 6500 Lee [pdf]

[pdf] - Some links on this page are to Adobe .pdf files requiring the use of Adobe Reader. If you need them in a more accessible format, please contact

To find course availability and times, please visit the Ohio State Course Catalog and Master Schedule.