Machine Learning
Session
Regular Academic Session
Class Number
2922
Career
Graduate
Units
3 units
Grading
Graded
Description
Topics include a wide variety of supervised learning methods, both regression and classification, with an emphasis on those that perform well on large feature sets.

Outcomes: Students in this course will learn how to apply sophisticated algorithms to large data sets to make inferences for prediction or decision making.
Enrollment Requirements
COMP 400B or equivalent, and (STAT 103 or equivalent)
Class Notes
Combined with COMP 379-001.
Class Actions
Look up course materials
Class Details
Instructor(s)
Mohammed Abuhamad
Meets
We 5:30PM - 8:00PM
Dates
08/25/2025 - 12/13/2025
Room
Cuneo Hall - Room 104
Instruction Mode
In person
Campus
Lake Shore Campus
Location
Lake Shore Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
16
Seats Open
14
Class Capacity
30
Wait List Total
0
Wait List Capacity
5