CS 273A: Machine Learning

When: Tuesdays and Thursdays at 2–3:20pm
- Lectures will be recorded and added to this playlist with access for uci.edu accounts.
Where: zoom
Announcements and forum: piazza
- Important course announcements will be made on the forum.
- Please post on the forum, publicly or privately, all course-related questions (no emails please).
Assignments: gradescope
- Published on this page biweekly.
Instructor: Prof. Roy Fox
- Office hours: calendly
- Enrolled students are welcome to:
  - schedule 15-minute slots (more than once if needed);
  - give at least 4-hour notice;
  - attend individually or with friends.
Teaching assistant: Emad Kasaeyan Naein
- Office hours: calendly

Assignments: 40%
- 4 best of 5 assignments count for 10% each.
- No late submission.
Exams: 40%
- Midterm: 18%
- Final: 22%
Project: 15%
- Team roster: 1%
- Abstract: 2%
- Report: 12%
Participation: 5%

(Week) Dates	Tuesday	Thursday
(1) Jan 5, 7	Introduction	Nearest Neighbors
(2) Jan 12, 14	Bayes Classifiers	Linear Regression Assignment 1 due
(3) Jan 19, 21	Linear Regression (cont.)	Regularization
(4) Jan 26, 28	Linear Classifiers Assignment 2 due	VC Dimension
(5) Feb 2, 4	Decision Trees Team roster due	Mid-Term Review Assignment 3 due
(6) Feb 9, 11	Midterm	Neural Networks
(7) Feb 16, 18	SVMs (Feb 18) Project abstract due	Ensemble Methods (recorded)
(8) Feb 23, 25	Clustering Assignment 4 due	Latent-Space Models
(9) Mar 2, 4	Latent-Space Models (cont.)	Active and Online Learning Assignment 5 due
(10) Mar 9, 11	Reinforcement Learning	Final Review Project report due
(11) Mar 18		Final exam (1:30–3:30pm)