UC_BERKELEY · INFO · COURSE SHEET
INFO 2514 creditsSee offeringsHas prerequisites
Applied Machine Learning
CT Score
1500
#0 of 0 in INFO
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 surveys7.3%
56.6%
10.6%
5.2%
4.6%
2.7%
1.1%
0.3%
0.3%
0.3%
0.3%
0.3%
10.6%
A+
A
A-
B+
B
B-
C+
C
C-
D
D-
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
INFO 206B, or equivalent course in Python programming; or permission of instructor.; INFO 271B, or equivalent graduate-level course in statistics or econometrics; or permission of instructor.→INFO 251→unlocks 2 courses
2 mapped courses list INFO 251 as a prerequisite. 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.