Catalog Description
Foundational data science-related techniques and their essential mathematical and computational background.
Instructor Description
This class explores various data science models, both traditional and the state of the art techniques. The course is designed to provide mathematical and computational basis such as Linear Algebra, Optimization techniques, and probabilistic modeling for different types of machine learning models. The goal of the class is provide a foundational basis for data science techniques. The class focuses on PSETs and a final data science project.
Prerequisites
Graduate standing.
Course Areas
General Information Studies Elective
Data Science/Engineering/Analytics