Mathematical Foundations of Data Science and Artificial Intelligence

Catalog description

Mathematical concepts and techniques required for the development and understanding of data science (DS) and artificial intelligence (AI) workflows. Topics include relevant concepts from statistics, probability theory, linear algebra, and calculus. Content is presented in an application-focused context, with an emphasis on demonstrating the role of each topic within DS and AI workflows.