INTRODUCTION TO MACHINE LEARNING
INTRODUCTION TO MACHINE LEARNING
2026 Spring Term
3 Units
Computer Science 432
The course is structured to establish a solid foundation at the intersection of probability and statistics theory with machine learning concepts. Students will cultivate a deep understanding of the core probabilistic principles and tools that serve as the foundation for a wide array of machine learning algorithms and methodologies. The curriculum will extensively delve into both classical and contemporary machine learning theories and algorithms, elucidating their practical application in tasks like classification and regression.
Other Requirements: PREREQ: ((COMPSCI 332 OR STAT 342) AND MATH 355) OR INSTRUCTOR CONSENT
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
|---|---|---|---|---|---|
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01-LEC 3735
3 Units
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01/26 - 05/09 (1) | TuTh 2:00 PM - 3:15 PM |
Fnu Hairi
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