COS324:Introduction to Machine Learning

Provides a broad introduction to different machine learning paradigms and algorithms, providing a foundation for further study or independent work in machine learning, artificial intelligence, and data science. Topics include linear models for classification and regression, support vector machines, neural networks, clustering, principal components analysis, Markov decision processed, planning, and reinforcement learning.

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Semester: Fall24
Lectures: Monday,Wednesday 1:30 - 2:50
Location: TBD

Faculty

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Jia Deng
Office: Computer Science 423
Extension: 1203
Email: jiadeng
Additional Instructors: S. Caldas, A. Dieng

Additional Information

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Registrar's Fall24 COS offerings
CS Course Schedule
The Undergrad Coordinator is Colleen Kenny.
Email: ckenny
Office: Computer Science 210
Extension: 1746