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COM SCI M146

Introduction to Machine Learning

Course statistics

Predicted GPA
3.45
n = 1,806 · 9 terms · ± 0.013
A range
57%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
1.4%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Closed
180 of 180
100% full
 fills MW 4:00pm-5:50pm Tang, C.
3.45n=1,806 · course average
Lec 91 Open
0 of 15
0% full
 fills MW 4:00pm-5:50pm Tang, C.
3.45n=1,806 · course average

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 17421F
  • 20122W
  • 4922S
  • 24122F
  • 23823W
  • 9523S
  • 13423F
  • 31124W
  • 1025W
Enrolment by term: 21F 174, 22W 201, 22S 49, 22F 241, 23W 238, 23S 95, 23F 134, 24W 311, 25W 10
Peak 311 Most recent 10 in 25W 9 terms on record

Grade distribution

  • A+ 211 · 11.6%
  • A 447 · 24.7%
  • A- 375 · 20.7%
  • B+ 336 · 18.5%
  • B 161 · 8.9%
  • B- 107 · 5.9%
  • C+ 113 · 6.2%
  • C 20 · 1.1%
  • C- 10 · 0.6%
  • D+ 6 · 0.3%
  • D 6 · 0.3%
  • D- 1 · 0.1%
  • F 13 · 0.7%
  • I 6 · 0.3%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Instructor Predicted Raw n Terms A range
SANKARARAMAN, SRIRAM 3.42 3.42 1,067 4 54%
CHANG, KAI-WEI 3.38 3.37 415 2 56%
GROVER, ADITYA 3.64 3.64 311 3 71%
DIGGAVI, SUHAS N 3.42 3.38 13 small sample 1 62%

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.

By term