Mathematical Foundations of Data Science II

Catalog description

The course covers foundational mathematical concepts fundamental to data science. It builds upon the basic concepts in MA 326 and develops theory for a range of central data science techniques. The course includes the following topics: Optimization algorithms, neural networks, graph-based models and generative learning. These algorithms will be explored computationally using Python and practical data sets.