At Department of Statistics:
STAT 546 (Machine Learning for Data Science)
STAT 542 (Statistical Learning)
STAT 432 (Basics of Statistical Learning)
STAT 400 (Statistics and Probability I)
STAT 420 (Methods of Applied Statistics)
I wrote this textbook for my learning courses:
At Carle Illinois College of Medicine:
Data Science Project (2021 - )
Foundations: Molecules to Populations (2018 - 2022)
Other Course/Lectures:
[Fall 2023] I will be teaching two lectures on random forests at the ECAS-SFdS school, during Oct 8-13. Other lecturers include Profs. Robin Genuer, Pierre Geurts and Nathalie Vialaneix. This is jointly organized by Profs. Jean-Michel Poggi and Robin Genuer.
Random Forest Tutorial (Part I, Part II, Part III, RLT package example [source file])
[Summer 2018] Mayo-Illinois CompGen Workshop (Slides, examples.rmd, examples.pdf, prostate.RData)