Skip to Main Content

MATH352

Download as PDF

Math Methods in Data Science

Description

Understanding data as information and using it to solve problems and make decisions. Graphics for data visualization. Algorithms for data cleaning, mining, and processing. Using inference algorithms for explanation, predication, and classification. Using machine learning to solve supervised and unsupervised problems.

Instruction Modes

In-Person On-Campus

Grade Modes

Standard (S)

College/School

School of Liberal Arts

Start Term

Fall 2022 Semester

Free Form Requirements