Introduction
Supervised vs. unsupervised learning
Course overview and the landscape of statistical learning. We distinguish supervised problems (regression, classification) from unsupervised ones (clustering, dimensionality reduction), and motivate the rest of the semester through health-science examples.
๐ Assigned reading: ISLR ch. 2
๐ Slides
- ๐ฅ๏ธ Clean slides
๐ Readings
- ๐ ISLR (selected pages)
- ๐ Breimann (2001)
- ๐ Gelman (2020)