UC_IRVINE · EECS · COURSE SHEET
EECS 2544 creditsSee offeringsHas prerequisites
Theory of Machine Learning
CT Score
1500
#0 of 0 in EECS
Difficulty
—/10
Workload
—h/wk
Median grade
B
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys47.1%
52.9%
A
B
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
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In the tree
Recommended: EECS 125 or equivalent undergraduate-level introduction to machine learning. Knowledge of introductory linear algebra and differential equations, elementary probability theory, and elementary Matlab programming→EECS 254→unlocks 0 courses
No mapped courses require this one yet. See on the map →
Study groups
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