Unofficial GitHub repository for sharing the computational materials covered during the seminars.
Manual for working with this repository
(Tentative) schedule:
| Date | Team | Topic |
|---|---|---|
| Feb 19 | FC & JK | (a) Ch.2: Overview |
| Feb 28 | LH & MN | (a) Ch.3: Shrinkage |
| Mar 20 | NF & MH | (a) Ch.4: "Linear" Classification |
| Apr 3 | ||
| Apr 17 | ||
| May 1 |
Reading:
(a) Elements of statistical learning by Hastie, Tibshirani & Friedman
(b) An Introduction to Statistical Learning by James, Witten, Hastie & Tibshirani
(c) Machine learning by Mello & Ponti