Lecture | Date | Lecture Topics | Readings | Coursework | |
---|---|---|---|---|---|
1 | Mon Jun 23 |
Introduction and Background Supervised vs Unsupervised learning (slides) |
ISL Ch 1-2 ESL Ch 1-2 |
HW 0 (No due date) HW 1 (Due Jul 3) |
|
2 | Wed Jun 25 |
Classification & Clustering (slides) | ISL Ch 2.2.3, 12.4 ESL Ch 6.6.3 |
||
Section | Fri Jun 27 |
Probability, Statistics, and Linear Algebra review (slides) | |||
3 | Mon Jun 30 |
Linear Regression (slides) | ISL Ch 3 ESL Ch 3 |
||
4 | Wed Jul 2 |
Finish Linear Regression & Classification (slides) | ISL Ch 3-4 ESL Ch 3 |
||
Section | Fri Jul 4 |
No class | HW 1 due @ 4:30PM HW 2 (Due Jul 14) |
||
5 | Mon Jul 7 |
Evaluation and Uncertainty (slides) |
ISL Ch 5 ESL Ch 7, 8.8 |
||
6 | Wed Jul 9 |
Model Selection & Regularization (slides) | ISL Ch 6 ESL Ch 18 |
||
Section | Fri Jul 11 |
Midterm review (slides) | |||
7 | Mon Jul 14 |
Beyond linearity (slides) | ISL Ch 6.4-7 ESL Ch 5 |
HW 2 due @ 4:30PM | |
Wed Jul 16 |
MIDTERM (practice exam) Time: 4:30 PM to 5:50 PM - Location: Packard 101. |
||||
Section | Fri Jul 18 |
No class | HW 3 (Due Jul 28) | ||
8 | Mon Jul 21 |
Support Vector Machines (slides) | ISL Ch 9 ESL Ch 12.1-12.3 |
||
9 | Wed Jul 23 |
Decision Trees & Random Forests (slides) | ISL Ch 8 ESL Ch 9.2,15 |
||
Section | Fri Jul 25 |
No class | |||
10 | Mon Jul 28 |
Boosting (slides) | ISL Ch 8.2 ESL Ch 10 |
HW 3 due @ 4:30PM HW 4 (Due Aug 6) |
|
11 | Wed July 30 |
Neural Networks (slides) | ISL Ch 10 ESL Ch 11 |
||
Section | Fri Aug 1 |
Final project review | |||
12 | Mon Aug 4 |
An Introduction to Transformers (slides) | Attention Is All You Need | ||
13 | Wed Aug 6 |
Survival Analysis (slides) | ISL Ch 11 | HW 4 due @ 4:30PM | |
Section | Fri Aug 8 |
Final exam review (slides) | ESL Ch 11 | Optional: Final report submission | |
14 | Mon Aug 11 |
Final project discussion | Final project (predictions) due @ 12:00AM | ||
Wed Aug 13 |
No class | Final project (report) due @ 11:59PM | |||
Sat Aug 16 |
FINAL EXAM Time: 7:00 PM - 10:00 PM - Location: TBD. |