Econ 425T tentative schedule and handouts (expect frequent updates)
BruinLearn: https://bruinlearn.ucla.edu/courses/158664
Course announcements will be sent via BruinLearn.
Zoom link: https://ucla.zoom.us/j/98083064607
Office hours will be on Zoom.
Slack channel: https://uclaecon425t2-zqd6620.slack.com
Invite link: https://join.slack.com/t/uclaecon425t2-zqd6620/signup?x=x-p4492610974806-4499098090339-4680755103011
ISL refers to the book An Introduction to Statistical Learning: with Applications in R (2021, 2nd Edition).
ESL refers to the book Elements of Statistical Learning: Data Mining, Inference, and Prediction (2009, 2nd Edition).
| Week | Tuesday | Thursday | Homework |
|---|---|---|---|
| 1 | 1/10 course intro and logistics (ISL 1) [slides: qmd, html] | 1/12 overview of machine learning (ISL 2) [slides: qmd, html] | HW1 [qmd, html] |
| 2 | 1/17 linear regression (ISL 3) [slides: qmd, html] | 1/19 model selection and regularization (ISL 6) [slides: qmd, html] | HW2 [qmd, html] |
| 3 | 1/24 resampling method (ISL 5) [slides: qmd, html] | 1/26 workflow (lasso) [slides: qmd, html] | |
| 4 | 1/31 additive model (ISL 7) [slides: qmd, html], workflow (adding nonlinear features to predictive modeling) [slides: qmd, html] | 2/2 classification (ISL 4) [slides: qmd, html] | HW3 [qmd, html] |
| 5 | 2/7 workflow (classifiers with nonlinear features) [slides: qmd, html] | 2/9 tree-based and ensemble methods (ISL 8) [slides: qmd, html], workflow (pruning a regression tree) [slides: qmd, html], workflow (pruning a classification tree) [slides: qmd, html] | |
| 6 | 2/14 workflow (random forest for prediction) [slides: qmd, html], workflow (random forest for classification) [slides: qmd, html], workflow (boosting for prediction) [slides: qmd, html], workflow (boosting for classification) [slides: qmd, html] | 2/16 svm (ISL 9) [slides: qmd, html] | HW4 [qmd, html] |
| 7 | 2/21 workflow (svm with rbf kernel) [slides: qmd, html], workflow (svm with polynomial kernel) [slides: qmd, html] | 2/23 neural network (introduction) [slides: qmd, html] | HW5 [qmd, html] |
| 8 | 2/28 neural network (practice) [slides: qmd, html] | 3/2 | |
| 9 | 3/7 workflow (MLP with scikit-learn) [slides: qmd, html] | 3/9 workflow (MLP with keras-tuner) [slides: qmd, html] | HW6 [qmd, html] |
| 10 | 3/14 unsupervised learning (ISL 12) [slides: qmd, html] | 3/16 miscellany [slides: qmd, html] |