UC_BERKELEY · INDENG · COURSE SHEET
INDENG 142A4 creditsSee offeringsHas prerequisites
Introduction to Machine Learning and Data Analytics
CT Score
1500
#0 of 0 in INDENG
Difficulty
7/10
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 surveys5.6%
25.3%
19.1%
13.6%
14.3%
9.7%
5.1%
2.2%
1.4%
0.5%
0.3%
0.1%
0.6%
0.4%
1.8%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F
NP
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
DP
Daniel Pirutinsky
11 community ratings
7.1
——PG
Paul Grigas
1 community ratings
10
——Sections
No section data for this term yet.
In the tree
IND ENG 165 and IND ENG 172 or equivalent courses in probability and statistics.; Prior exposure to optimization (either IND ENG 160 or IND ENG 162 or equivalent). AND Some programming experience/literacy is expected.→INDENG 142A→unlocks 2 courses
2 mapped courses list INDENG 142A as a prerequisite. See on the map →
Study groups
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