University of California, Los Angeles 4 credits Statistics
Lecture, three hours; discussion, one hour. Enforced requisite: course 200B, 201B, 202A, M231A, or 231B. 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.
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