Discussion Calendar
- Discussions are led by the teaching assistants. The schedule for future discussions may be revised.
- Please watch the tutorial videos posted to the CS178 YuJa channel Links to an external site., and/or go over the Jupyter notebooks, before the live QA sessions on Mondays.
- The TAs will be available to answer any questions during one of the following live QA sessions on Mondays:
- 4-5pm led by TA Daniel Frishberg: https://uci.zoom.us/j/94057606385?pwd=aHE0UTdia0FPUlpQNlhNeHA2UWlKUT09 Links to an external site.
- 5-6pm led by TA Ali Younis: https://uci.zoom.us/j/7553178915 Links to an external site.
- 6-7pm led by TA Shima Nabiee: https://uci.zoom.us/j/97559748181 Links to an external site.
- 7-8pm led by TA Tiancheng Xu: https://uci.zoom.us/j/2674853081 Links to an external site.
- The live QA sessions are not recorded. Make sure that you connect to the meeting using your UCI Zoom account Links to an external site. (and login with your UCInetID).
|
Number |
Date |
Topics & Materials |
Code |
Video |
|
- |
1/04/2021 |
No Discussion |
|
|
|
1 |
1/11/2021 |
Data Plotting, Python & MLTools Tutorial |
Part 1
Links to an external site. |
|
|
- |
1/18/2021 |
No Discussion (Martin Luther King, Jr. Day) |
|
|
|
2 |
1/25/2021 |
Linear Regression, Cross-Validation |
week2.zip Download week2.zip | Video Links to an external site. |
|
3 |
2/01/2021 |
Linear Classification, Perceptrons |
Part 1
Links to an external site. |
|
|
4 |
2/08/2021 |
Multiclass Classification, Logistic MSE Classifier |
Part 1
Links to an external site. |
|
|
- |
2/15/2021 |
No Discussion (Presidents' Day) |
|
|
|
5 |
2/22/2021 |
Kaggle Competitions, Ensembles & Boosting |
Part 1
Links to an external site. |
|
|
6 |
3/01/2021 |
Clustering, Principal Components Analysis |
Part 1
Links to an external site. |
|
|
7 |
3/08/2021 |
Neural Networks & Deep Learning |
week7.zip Download week7.zip | |
|
8 |
3/15/2021 |
Project Help Session |
|
|
* The Colab link provided during discussion 1 was intended for those who had not yet set up Jupyter on their machines. Colab is a tool provided by Google for creating, sharing, and running Jupyter notebooks. You do not need to use Colab for this course.