STATS C161 · STAT C161Introduction to Machine Learning and Artificial Intelligence
Statistics · 4 units · Undergraduate upper division (100-199)
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 C261.
P/NP 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
Official UCLA wording
Requisites: course 100B, Mathematics 33A.
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 C161
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 32BCalculus of Several Variables
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- MATH 33ALinear Algebra and Applications
2 direct requisites. Showing 17 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS C161
- STATS C163Generative Data Science
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.