UCSB CS / ECE Research Mentorship Program, connect with labs, PhD, and professor for research opportunities Apply Now
ACM Intern Applications now open! Want to get more involved in ACM? Apply Here!

An introductory course to topics in machine learning studied from a probability theory viewpoint. Covers an overview of basic probability, inference and estimation, regression algorithms, Markov chains, inference for Markov models and the EM algorithm, Markov decision process, and reinforcement learning. In addition to covering mathematical and algorithmic details, the course includes several hands-on projects to implement the machine learning algorithms.

Prerequisites: ECE 139 or PSTAT 120A or equivalent.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
These majors only ee cmpen
PEDARSANI R
No info found
Winter 2025 . Pedarsani R
GIRV 2112
M W
15:30 PM - 16:45 PM
ECE 186 Pedarsani R Winter 2025 Total: 29
See All
ECE 186
0 / 60 Enrolled
Probabilistic Machine Learning
Ramtin Pedarsani 4.0
M W
15:30 PM - 16:45 PM
ECE 183
2 / 16 Enrolled
Nonlinear Phenomena
Bouwmeester D
T R
14:00 PM - 15:15 PM
ECE 184
22 / 50 Enrolled
Introduction to Video Game Development
Sen P
M W
12:00 PM - 13:50 PM
ECE 188C
17 / 75 Enrolled
Senior Electrical Engineering Project
Ben-Yaacov I, Manjunath B S
M W
12:30 PM - 13:45 PM
ECE 188C
0 / 75 Enrolled
Senior Electrical Engineering Project
Ilan Ben-Yaacov 3.9
M W
12:30 PM - 13:45 PM
ECE 189C
19 / 55 Enrolled
Senior Computer Systems Project
Isukapalli Y
T R
09:30 AM - 10:45 AM
ECE 192
0 / 5 Enrolled
Projects in Electrical and Computer Engineering
T B A