STATS 207
Statistical Learning with Sparsity
Statistics · 4 units · Graduate courses (200-299)
Study of methods that exploit sparsity to help recover underlying signal in data.
S/U or letter grading.
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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.





