This is the course homepage for CPSC 330: Applied Machine Learning at the University of British Columbia. You are looking at the current version (Sep-Dec 2020). An earlier version from Jan-Apr 2020 can be found here.
Instructor: Mike Gelbart
- syllabus / administrative info
- other course documents
- past exams
- Piazza (this is where all announcements will be made)
- class + office hours calendar
- Zoom links on Canvas
Live lectures: The lectures will be on Zoom. They can be joined through Canvas here. If you would like to join the lectures but cannot login to Canvas (presumably because you're not enrolled in the course) please email Mike and I will give you the link.
Lecture recordings: The lecture recordings can be accessed through the same Zoom page on Canvas here. From this page, navigate to the "Cloud Recordings" tab and you should see them there. The same lecture recordings will be posted here embedded in the schedule below.
# | Date | Topic | Recording | Related readings and links | vs. CPSC 340 |
---|---|---|---|---|---|
Sep 8 | UBC Imagine Day - no class | ||||
1 | Sep 10 | Course intro | recording | n/a | |
Dataset of the week: which CPSC 330 students like cilantro? | |||||
2 | Sep 15 | Decision trees | recording pw !?3niNc^ |
less depth | |
3 | Sep 17 | The fundamental tradeoff of ML | recording pw 90p@qbt4 |
About Train, Validation and Test sets | similar |
Dataset of the week: sentiment analysis of movie reviews | |||||
4 | Sep 22 | Logistic regression, word counts, predict_proba |
recording pw ZsJZ#e29 |
Meaningless comparisons lead to false optimism in medical machine learning | less depth |
5 | Sep 24 | Pipelines & hyperparameter optimization | recording pw pT2QVE*# and supplemental screencast |
more depth | |
Dataset of the week: Predicting income from census data | |||||
6 | Sep 29 | Overfitting the validation set & encoding categorical variables | recording pw 3J10UiO. |
more depth | |
7 | Oct 1 | Imputation, scaling numeric features, ColumnTransformer |
recording pw b.+DFR47 |
more depth |
Below this point is the schedule for future lectures (not yet updated for 2020W1)
# | Due Date | Associated lectures |
---|---|---|
1 | Tue Sep 15 11:59pm | prerequisites |
2 | Mon Sep 21 11:59pm | 2, 3 |
Thank you to Tomas Beuzen and Varada Kolhatkar for significant contributions to the course materials.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.