|
週次 |
日期 |
單元主題 |
|
Week 1 |
2/24 |
Course introduction |
|
Week 2 |
3/03 |
Overview of Statistical Learning (Ch1 and Ch2) |
|
Week 3 |
3/10 |
Ch 2 Assessing Model Accuracy and bias-variance tradeoff |
|
Week 4 |
3/17 |
Ch2 Bias-variance trade-off; Ch 3 Regression |
|
Week 5 |
3/24 |
Ch3 Regression (Lab); Homework 1 Assigned; Ch 4 Classification |
|
Week 6 |
3/31 |
Ch 4 Classification |
|
Week 7 |
4/07 |
Ch 4 Discriminant Analysis; R Demo; Homework 2 Assigned |
|
Week 8 |
4/14 |
Ch 5 Resampling methods |
|
Week 9 |
4/21 |
Ch 6 Model Selection and Regularization; Homework 3 Assigned |
|
Week 10 |
4/28 |
Ch 6 Model Selection and Regularization; Ch 6a Feature Selection |
|
Week 11 |
5/05 |
Midterm |
|
Week 12 |
5/12 |
Feature Selection; Ch 7 Moving Beyond Linearity; Term Project Proposal Due |
|
Week 13 |
5/19 |
Ch 7 Moving Beyond Linearity; Homework 5 Assigned |
|
Week 14 |
5/26 |
Ch 8 Tree-based Methods; |
|
Week 15 |
6/02 |
Ch 9. Support Vector Machines |
|
Week 16 |
6/09 |
Ch 10. Unsupervised Learning |
|
Week 17 |
6/16 |
Final Project Presentation |