2025 Fall
COMPSCI C281A 001 - LEC 001
Statistical Learning Theory
Benjamin Recht
Class #:31779
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
47
Enrolled: 8
Waitlisted: 30
Capacity: 55
Waitlist Max: 100
Open Reserved Seats:
8 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
39 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Also offered as:
STAT C241A
Hours & Workload
6 hours of outside work hours per week, and 3 hours of instructor presentation of course materials per week.
Other classes by Benjamin Recht
Course Catalog Description
Classification regression, clustering, dimensionality, reduction, and density estimation. Mixture models, hierarchical models, factorial models, hidden Markov, and state space models, Markov properties, and recursive algorithms for general probabilistic inference nonparametric methods including decision trees, kernal methods, neural networks, and wavelets. Ensemble methods.
Class Notes
* Time conflicts are NOT allowed
Rules & Requirements
Requisites
- Graduate students NOT in the Master of Engineering Program other those in EECS
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
8 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
39 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate 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