Lectures
Updated daily before lecture.
Contents
| Date | Title | Materials | |
|---|---|---|---|
| Lecture 0 | June 1 | Welcome to CMSACamp 2026 | slides |
| Lecture 1 | June 2 | Exploring data: into the tidyverse |
slides |
| Lecture 2 | June 3 | Data visualization: the grammar of graphics and ggplot2 |
slides |
| Lecture 3 | June 4 | Data visualization: categorical data | slides |
| Lecture 4 | June 5 | Data visualization: quantitative data | slides |
| Lecture 5 | June 8 | Data visualization: density estimation | slides |
| Lecture 6 | June 9 | Unsupervised learning: \(k\)-means clustering | slides |
| Lecture 7 | June 10 | Unsupervised learning: hierarchical clustering | slides |
| Lecture 8 | June 11 | Unsupervised learning: Gaussian mixture models | slides |
| Lecture 9 | June 12 | Presentations | slides |
| Lecture 10 | June 15 | Supervised learning: model assessment vs selection | slides |
| Lecture 11 | June 16 | Supervised learning: linear regression | slides |
| Lecture 12 | June 17 | Supervised learning: intro to variable selection | slides |
| Lecture 13 | June 18 | Supervised learning: regularization | slides |
| Lecture 14 | June 22 | Dimension reduction: principal component analysis | slides |
| Lecture 15 | June 23 | Supervised learning: linear discriminant analysis | slides |
| Lecture 16 | June 24 | Supervised learning: logistic regression | slides |
| Lecture 17 | June 25 | Supervised learning: generalized linear models | slides |
| Lecture 18 | June 26 | Supervised learning: nonparametric regression | slides |
| Lecture 19 | June 29 | Supervised learning: decision trees | slides |
| Lecture 20 | June 30 | Supervised learning: bagging and boosting | slides |
| Lecture 21 | July 1 | Advanced topics: factor analysis | slides |
| Lecture 22 | July 6 | Advanced topics: survival analysis | slides |
| Lecture 23 | July 7 | Advanced topics: mixed effects | slides |
| Lecture 24 | July 8 | Advanced topics: SQL | slides |
| Lecture 25 | July 20 | Building a website with Quarto | slides |