MW 6:10pm–7:25pm · TTh 6:10pm–7:25pm
2 distinct times across 2 sections.
2 of 2 sections have room
Prerequisites STAT GR5241 This course covers some advanced topics in machine learning and has an emphasis on applications to real world data.
Description
Prerequisites: STAT GR5241 This course covers some advanced topics in machine learning and has an emphasis on applications to real world data. A major part of this course is a course project which consists of an in-class presentation and a written project report.
Reviews
Course experience
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Instructor quality
n=4, 2008–2009
Aggregated across every course Kamiar Rahnama Rad has taught.
Teaching quality
2.9 / 5
Grading fairness
No signal
Workload
No signal
Difficulty
4.0 / 5 · Hard
Overall sentiment
Negative
Sections2
- 9 of 125 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 21 of 125 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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