STATS 231B · STAT 231BMethods of Machine Learning
Statistics · 4 units · Graduate courses (200-299)
Introduction of mathematical tools for analysis of learning with neural networks and graphical models with latent variables.
S/U or letter grading.
When it runs
- Spring 2026
- Spring 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Recommended requisites: courses 208, M231A.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 231B
- STATS 208Statistical Learning Theory
- STATS M231APattern Recognition and Machine Learning
2 direct requisites. The whole upstream is here — 2 courses over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 231B
- STATS 213Synthetic Data Generation
- STATS 231CTheories of Machine Learning
- STATS C263Generative Data Science
3 courses list this as a requisite. The whole downstream is here — 3 courses over 1 level. Every course here opens its own tree.