STATS C261 · STAT C261Introduction to Machine Learning and Artificial Intelligence
Statistics · 4 units · Graduate courses (200-299)
Introduction to machine learning and artificial intelligence designed for advanced undergraduate and graduate students. Covers very basic machine-learning algorithms from supervised learning to unsupervised learning. Focus on so-called generative data science explaining the why behind generative data. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data. Digital marketing serves as a practical arena for students to implement the diverse data synthesis algorithms learned. Concurrently scheduled with course C161.
S/U or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
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.