Programming and Data Structures for Machine Learning

3 credits · Graduate

This course introduces programming fundamentals and essential data structures, tailored for graduate students pursuing machine learning engineering and machine learning for systems. Students will learn how to implement effective programs and design algorithms and systems that process and utilize data. We will explore core libraries used in data manipulation, and cover key concepts in object-oriented programming and design. Emphasis will also be placed on writing robust, testable code to support scalable and maintainable ML workflows.