STOR 323 · Lecture 3
A set of interactive lessons built around one lecture deck — the pipeline that turns a dataset into a deployed decision.
| # | Lesson | Covers |
|---|---|---|
| 1 | From data to decisions | The core pipeline: D→A→f̂_D, then x→f̂_D→s→δ→a |
| 2 | Beyond the straight line | Linear vs. softmax regression vs. kNN — parametric vs. nonparametric |
| 3 | Evaluation: how good is "good"? | MSE, ROC/AUC, confusion matrices, thresholds, and group fairness |
| 4 | Build the policy | Interactive review exercise — the whole arc, one decision at a time |
| Page | Covers |
|---|---|
| Notation decoder | Every math symbol from the deck, explained with pictures and real-world analogies |
| Glossary | Every term from the deck, one place, quick lookup |