Special Topics in Information Science: Foundations of Data Science

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.
Course Areas
General Information Studies Elective
Data Science/Engineering/Analytics
Skills and Knowledge Tags
Foundation for Machine Learning
model Development
Topics and Concepts Tags
Able To Understand How Different Models Work
core Machine Learning Principles

Course classes