TTh 1:10pm–2:25pm · TTh 2:40pm–3:55pm · F 1:10pm–3:40pm
3 distinct times across 3 sections.
3 of 3 sections have room
Prerequisites Prerequisites: (MATH UN1201 or MATH UN1205 or APMA E2000) and (COMS W3251 or MATH UN2010 or MATH UN2015) and (STAT UN1201 or STAT GU4001 or IEOR E3658 or MATH UN2015) and COMS W3203 and COMS W3134 General mathematical maturity. COMS W3770 is recommended for students who wish to refresh their math background.
Description
CC/GS: Partial Fulfillment of Science Requirement Basic statistical principles and algorithmic paradigms of supervised machine learning. Prerequisites: Multivariable calculus (e.g. MATH1201 or MATH1205 or APMA2000), linear algebra (e.g. COMS3251 or MATH2010 or MATH2015), probability (e.g. STAT1201 or STAT4001 or IEOR3658 or MATH2015), discrete math (COMS3203), and general mathematical maturity. Programming and algorithm analysis (e.g. COMS 3134). COMS 3770 is recommended for students who wish to refresh their math background.
Reviews
Course experience
n=49, 2003–2026
Aggregated across everyone who has taught this course.
Teaching quality
3.6 / 5
Grading fairness
4.5 / 5
Workload
4.0 / 5 · Heavy
Difficulty
3.5 / 5 · Hard
Overall sentiment
Mixed
Sections3
- 110 of 110 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 110 of 110 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 75 of 75 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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