Shortcuts | Notes | Assignments
This is a graduate level course at the NYU Center for Data Science.
Course information
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Instructor: Mengye Ren and Ravid Shwartz-Ziv.
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Semester: Spring 2023.
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Outline: Machine learning and statistical modeling; Statistical learning theory, convex optimization; Generative and discriminative models, kernel methods, boosting, latent variable models, etc.
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Programming Language: Python.
Gradebook
Overall grade: A (3.00/3.00)
| Item | Grade | Letter |
|---|---|---|
| Assignments | A | |
| Midterm | 60/70 | A |
| Final | A |
Assignments
Unfortunately, the Spring 2023 semester of this course does not involve any project. However, the assignments are more or less like small projects and my own versions can be seen here, with codes embedded as text. Note however, that the solutions are not guaranteed to be correct and are only for reference.