STATS C263
Generative Data Science
Statistics · 4 units · Graduate courses (200-299)
Designed for students interested in generative data science, an emerging field in the intersection of generative artificial intelligence (AI), data science, and machine learning. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data such as image, text, conversation, and tables. Focus on the evaluation of privacy-preserving effect of generative data. Concurrently scheduled with course C163.
S/U or letter grading.
Requisites
Official UCLA wording
Enforced requisite: course 200B, 201B, 202A, M231A, or 231B.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS C263
- STATS 200BTheoretical Statistics
- STATS 201BStatistical Modeling and Learning
- STATS 200AApplied Probability
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.