Machine Learning Theory
1:10pm–2:25pm
KENT HALL KNT 413
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Theoretical study of algorithms for machine learning and high-dimensional data analysis. Topics include high-dimensional probability, theory of generalization and statistical learning, online learning and optimization, spectral analysis
Reviews
Course experience
Aggregated across everyone who has taught this course.
No reviews matched yet.
Instructor quality
n=14, 2015–2026
Aggregated across every course Daniel Hsu has taught.
Teaching quality
2.7 / 5
Grading fairness
4.5 / 5
Workload
No signal
Difficulty
3.1 / 5 · Moderate
Overall sentiment
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
From CULPA and Reddit reviews matched to this course.
No reviews matched yet.