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| Campus | Haverford |
| Semester | Fall 2023 |
| Registration ID | CMSCH394A001 |
| Course Title | Advanced Topics in Theoretical Computer Science: Math Foundations of Machine Learning |
| Credit | 1.00 |
| Department | Computer Science |
| Instructor | Anbouhi,Soheil |
| Times and Days | MWF 09:30am-10:25am
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| Room Location | HLS11 |
| Additional Course Info | Class Number: 2577 An introduction to the mathematical principles behind modern machine learning algorithms. Covers advanced topics in linear algebra, vector calculus, probability theory, and optimization, with a particular focus on their relevance to machine learning tasks. We will also discuss various practical applications.; Crosslisted: Mathematics, Computer Science ; Prerequisite(s): MATH 121 and 215, or instructor permission; Enrollment Limit: 15 Div: II; Natural Science, C: Physical and Natural Processes (; Hav: NA, C) |
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