COMM 273
Applied Machine Learning
Communication · 4 units · Graduate courses (200-299)
Introduction to advanced machine-learning methods, which can apply to large-scale datasets in different modalities. Students learn how to develop, train, and validate machine-learning models; and to apply to large-scale data in their own research projects.
S/U or letter grading.
Requisites
Official UCLA wording
Preparation: familiarity with Python and basic statistical analysis.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "familiarity with Python" (no course number found)
- · could not read "basic statistical analysis" (no course number found)
- · no course reference could be read from this requisite
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.