Lecture (Subject to Change)
| Date | Topic | Homework | Project |
|---|---|---|---|
| Fr 1/10 | Intro | ||
| We 1/15 | Knowing Your Data | ||
| Fr 1/17 | Statistical Learning | ||
| We 1/22 | Bayes Classifier | ||
| Fr 1/24 | Data Storytelling | HW 1 (release) | Project Kickoff: Overview & Team Formation |
| We 1/29 | Regression I | Meet with any TA between 1/29 and 2/5 to discuss your proposal | |
| Fr 1/31 | Regression II | ||
| We 2/5 | Gradient Techniques | Proposal (due) | |
| Fr 2/7 | Multilayer Perceptron I | HW 1 (due) HW 2 (release) | |
| We 2/12 | Multilayer Perceptron II | ||
| Fr 2/14 | Decision Trees I | ||
| We 2/19 | Decision Trees II | ||
| Fr 2/21 | Ensemble | HW 2 (due) HW 3 (release) | |
| We 2/26 | Model Assessment & Selection | Meet with your assigned TA between 2/26 and 3/5 to discuss your milestone report and lightning presentations | |
| Fr 2/28 | Regularization | ||
| We 3/5 | Milestone Report (due) Lightning Presentations (3:05 – 4:20 pm, Biological Sciences 130) |
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| Fr 3/7 | Support Vectors | HW 3 (due) HW 4 (release) | Finish all analysis by your presentations on 4/9 and 4/11 to highlight the full scope of your project |
| We 3/12 | No Class (Spring Break) | ||
| Fr 3/14 | No Class (Spring Break) | ||
| We 3/19 | Exam Review | ||
| Fr 3/21 | Exam (3:05 – 4:20 pm, Biological Sciences 130) | ||
| We 3/26 | Clustering I | ||
| Fr 3/28 | Clustering II | ||
| We 4/2 | Learning-Model Diagnosis | Meet with your assigned TA between 4/2 and 4/9 to discuss your team project presentation and other final deliverables | |
| Fr 4/4 | Guest Talk 1 | HW 4 (due) | |
| We 4/9 - Fr 4/11 | Team Project Presentations (3:05 – 4:20 pm, Biological Sciences 130) | ||
| We 4/16 | Guest Talk 2 | Use the post-presentation phase to refine your narrative and finalize your report, not for additional analysis | |
| Mo 4/28 | Final Report + Reproducible Code (due) |
