Data science methods and their mathematical foundations: linear regression, classification, and clustering, kernel methods, regression trees and ensemble methods, dimension reduction.
Requisites
Prerequisites:
MATH 3215 (Min. Grade: D) or MATH 3225 (Min. Grade: D) or MATH 3235 (Min. Grade: D) or MATH 3670 (Min. Grade: D)
Restrictions:
Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * (A)
All Instructors
This total includes data from semesters with unknown instructors
Martin Short
Fall 2024
Wenjing Liao
Fall 2023
Website Lead
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