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| Week: date | Topic(s) | Course | Readings | Additional information | |
|---|---|---|---|---|---|
| 1: 1/14 | Intro to Applied Analytics -- ML pipeline | Slides | None | ||
| 1: 1/16 | Review of R; manipulating data; using tidyverse | R review | None | Bring your laptop to class with R and Rstudio installed | |
| 2: 1/21 Monday: no class, 1/23 | Decision trees and logistic regression | Slides | ISL 4.3, 4.6, 8, 2.2 | HW 0 check-in | |
| 3: 1/28, 1/30 | Logistic regression, evaluating predictions | Slides | ISL 4.3, 4.6, 8, 2.2 | HW 1 to be released | |
| 4: 2/4, 2/6 | Evaluating predictions | Slides | |||
| 5: 2/11, 2/13 | Discussion of readings; missing data | 2/13 10:30am: HW 1 due | reading 1 (abstract only); reading 2 | ||
| 6: 2/18, 2/20 | Bayesian networks | 2/20 10:30am: Written HW 1 due | Murphy 8.6, ESL 9.6, Murphy 10 | ||
| 7: 2/25, 2/27 | Ensembles, GLM variants | Slides, partner requests due 2/27 | ISL 8.2, 6.2, 7.3, 7.7 | ||
| 8: 3/4, 3/6 | Neural networks 1 | Slides | Murphy 28; Deep Learning Cheat Sheet; Deep Learning 2017 (slides) | ||
| -- Week of 3/13 -- | Spring break: no classes | ||||
| 9: 3/18, 3/20 | Neural networks 2 | 3/20 10:30am: HW 2 due | |||
| 10: 3/25, 3/27 | Neural networks 3, final project workday | Proposals due 3/27 | Supplementary reading: Understanding LSTMs, From GAN to WGAN | ||
| 11: 4/1, 4/3 | Language modeling | Slides | Latent Dirichlet allocation; word2vec | ||
| 12: 4/8, 4/10 | Language modeling, cont'd, survival analysis | Slides | CASI 9 | ||
| 13: 4/15, 4/17 | Survival analysis cont'd. | 4/17 10:30am: HW 3 due | |||
| 14: 4/22, 4/24 | Support vector machines | 4/24 10:30am: Written HW 2 due | ISL 9 | ||
| 15: 4/29, 5/1 | Technical debt | 5/8 end of day: final project due | On technical debt; Rules of ML |
Note: bold indicates graded material