UC_BERKELEY · COMPSCI · COURSE SHEET
COMPSCI 289A4 creditsSee offeringsHas prerequisites
Introduction to Machine Learning
CT Score
1500
#0 of 0 in COMPSCI
Difficulty
6/10
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 surveys17.1%
31.5%
13.6%
11.2%
9.4%
4.2%
0.3%
0.3%
0.7%
11.5%
A+
A
A-
B+
B
B-
C+
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
JG
Joseph Gonzalez
16 community ratings
8.4
——NN
Narges Norouzi
18 community ratings
9.2
——Sections
No section data for this term yet.
In the tree
MATH 53, 54; COMPSCI 70; COMPSCI 188 or consent of instructor.→COMPSCI 289A→unlocks 1 courses
1 mapped course lists COMPSCI 289A as a prerequisite. See on the map →
Study groups
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