Introduces students to tools, methods, and theory to construct predictive and inferential models that learn from data. Focuses on supervised machine learning technique including practical and theoretical understanding of the most widely used algorithms (decision trees, support vector machines, ensemble methods, and neural networks). Emphasizes both efficient implementation of algorithms and understanding of mathematical foundations. Same as CSCI 4622.
instructor(s)
Truong, Hoang Le
Primary Instructor
- Fall 2022 / Summer 2023 / Spring 2024 / Fall 2024
