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Data Mining

Division: Natural Science and Math

Department: Mathematics

Course: MATH 3280

Title: Data Mining

Description: Students will learn to efficiently find structures and patterns in large data sets. Topics will include acquiring data sets and cleaning messy and noisy raw data sets into structured and abstract forms; applying scalable and probabilistic algorithms to these well-structured abstract data sets; and, formally modeling and analyzing the error inherent in these methods. Students will consider data representations and trade-offs between accuracy and scalability.

Courses Taught Fall 2022

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Courses Taught Spring 2023

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