Fall 2019 Edition
The goal of this course is to provide advanced training in data science, encompassing current theory and application, to real-world data analytics problems. This course builds on the fundamentals established in CSCI 3360 Data Science I, exploring advanced topics such as nonlinear dimensionality reduction, semi-supervised learning, graph algorithms, and deep learning.
Check the links at the top to learn more.