Statistics & Applied Probability - PSTAT

PSTAT 262AI - Statistical Deep Learning for Artificial Intelligence

Deep learning predictive models, optimization, and sampling methods. Emphasis is on learning the probabilistic framework, deriving efficient estimators using matrix algebra, and developing scalable artificial intelligence algorithms and code to solve real-world research problems.

Prerequisites: PSTAT 120A-B-C; consent of instructor.
PSTAT 262AI
24 / 30 Enrolled
Statistical Deep Learning for Artificial Intelligence
Gu M
M W
11:00 AM - 12:15 PM
Image for ACM Leetcode Workshop Series
UCSB Association for Computing Machinery logo
UCSB Association for Computing Machinery
We are the largest computer science club at UCSB
Promoted

ACM Leetcode Workshop Series

Level up your Leetcode skill for SWE internship interview questions

Phelps Hall, Room 3526
Add to Google Calendar Open form