UT_AUSTIN · C S · COURSE SHEET
C S 364MSee offeringsHas prerequisites
Principles of Machine Learning II
CT Score
1500
#0 of 0 in C S
Difficulty
—/10
Workload
—h/wk
Median grade
A−
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 surveys49.7%
30.3%
7.3%
6.1%
2.4%
1.8%
1.2%
1.2%
A
A-
B+
B
B-
C
C-
F
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
Upper-division standing and Computer Science 363D , 363M or 363H , and 331 or 331H with a grade of at least C-→C S 364M→unlocks 0 courses
No mapped courses require this one yet. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.