Spring 2024
COMPSCI 294 082 - LEC 082
Special Topics
Experimental Design for Machine Learning on Multimedia Data
Gerald Friedland
Class #:29202
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled: 48
Waitlisted: 0
Capacity: 48
Waitlist Max: 15
Open Reserved Seats:
4 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
Hours & Workload
1 to 3 hours of instructor presentation of course materials per week, and 2 to 11 hours of outside work hours per week.
Course Catalog Description
Topics will vary from semester to semester. See Computer Science Division announcements.
Class Notes
* Prereqs: Some Machine Learning Background
* Time conflicts NOT allowed
* Time conflicts NOT allowed
Rules & Requirements
Requisites
- Graduate students NOT in the Master of Engineering Program other those in EECS
Repeat Rules
Reserved Seats
Current Enrollment
Open Reserved Seats:
4 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None