Modern Statistical Prediction and Machine Learning

CT Score

1500

#0 of 0 in STAT

Difficulty

8/10

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 surveys

25.3%

15.7%

8.7%

12.6%

4.2%

4.9%

3.8%

1.1%

0.2%

0.7%

10.6%

A+

A-

B+

B-

C+

C-

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Ryan Giordano

3 community ratings

——

Professor ratings →

Sections

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In the tree

Mathematics 53 or equivalent; Mathematics 54, Electrical Engineering 16A, Statistics 89A, Mathematics 110 or equivalent linear algebra; Statistics 135, the combination of Data/Stat C140 and Data/Stat/Compsci C100, or equivalent; experience with some programming language. Recommended prerequisite: Mathematics 55 or equivalent exposure to counting arguments.→STAT 154→unlocks 0 courses

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Study groups

0 active

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