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| Week: date | Topic(s) | Course | Readings | Additional information |
|---|---|---|---|---|
| 1: 8/27 | Intro to Applied Analytics -- ML pipeline | Slides | None | |
| 1: 8/29 | Review of R; manipulating data; using tidyverse | R review | None | Bring your laptop to class with R and Rstudio installed |
| 2: 9/5 (No class on 9/3: Labor Day) | Decision trees and logistic regression | Slides | ISL 4.3, 4.6, 8, 2.2 | HW 1 to be released |
| 3: 9/10, 9/12 | Logistic regression, evaluating predictions | Slides | ISL 4.3, 4.6, 8, 2.2 | |
| 4: 9/17, 9/19 | Evaluating predictions; R workshop (DTs/LR/evaluation); Discussion of papers | Slides | paper1 (abstract only); paper2 | |
| 5: 9/24, 9/26 | Working with missing data (MCAR/MAR/MNAR) and Bayes networks | 9/26 10:30am: HW 1 due | Murphy 8.6, ESL 9.6, Murphy 10 | |
| 6: 10/1, 10/3 | Working with missing data (MCAR/MAR/MNAR) and Bayes networks | Slides | Murphy 8.6, ESL 9.6, Murphy 10 | Written HW 1 out Monday, due 10/10 |
| 7: 10/8, 10/10 | Ensembles, GLM variants | Slides; 10/10 10:30am: written HW 1 due | ISL 8.2, 6.2, 7.3, 7.7 | |
| 8: 10/15, 10/17 | Variants on linear regression, regularization | Slides | ISL 3, 6.2, 6.6 | 701; HW 2 out on Wednesday, due 10/31 |
| 9: 10/22, 10/24 | Neural networks 1 | Slides | Murphy 28; Deep Learning 2017 (slides) | Final project groups assigned, proposal due 11/7 |
| 10: 10/29, 10/31 | Neural networks cont'd. | Slides; 10/31 10:30am: HW 2 due | Murphy 28 | |
| 11: 11/5, 11/7 | Neural networks cont'd; language modeling | Slides; 11/7 10:30am: Proposal due | Deep Learning 2017 (slides) | Supplementary reading: Understanding LSTMs, From GAN to WGAN |
| 12: 11/12, 11/14 | Survival analysis; group project day | Slides | CASI 9 | HW 3 out on Monday, due 11/28 |
| 13: 11/19, (No class on 11/21: Thanksgiving) | Survival analysis | Written HW 2 out Monday, due 12/5 | ||
| 14: 11/26, 11/28 | Support vector machines | 11/30 10:30am: HW 3 due | ISL 9 | |
| 15: 12/3, 12/5 | Technical debt, group project day | 12/5 10:30am: Written HW 2 due | On technical debt; Rules of ML | |
| 16: 12/10, 12/12 | Reading days: no classes | 12/12 end of day: final project due |
Note: bold indicates graded material