UC_BERKELEY · DATASCI · COURSE SHEET
DATASCI 2813 creditsSee offeringsHas prerequisites
Computer Vision
CT Score
1500
#0 of 0 in DATASCI
Difficulty
—/10
Workload
—h/wk
Median grade
A
from grade distribution
Would take again
—
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ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys30.7%
53.5%
4.3%
3.5%
4.7%
0.8%
0.8%
0.8%
0.8%
A+
A
A-
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B
B-
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C
C-
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
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In the tree
DATASCI 207. AND MIDS students only. We assume you are familiar with machine learning techniques. You should also be comfortable with linear algebra, which we'll use for vector representations and when we discuss deep learning. Intermediate programming skills in an object-oriented language (e.g., Python). This course will use Python for all examples, exercises, and assignments.→DATASCI 281→unlocks 0 courses
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Study groups
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