![]() | Click the Schedule Type to find available offerings of the course on the Schedule of Classes. |
MATH 4210 - Mathematics of Data Sci |
Data science methods and their mathematical foundations: linear regression, classification, and clustering, kernel methods, regression trees and ensemble methods, dimension reduction.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Grade Basis: ALP All Sections for this Course Sch/Mathematics Department Restrictions: Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: Undergraduate Semester level MATH 3215 Minimum Grade of D or Undergraduate Semester level MATH 3225 Minimum Grade of D or Undergraduate Semester level MATH 3235 Minimum Grade of D or Undergraduate Semester level MATH 3670 Minimum Grade of D |
Return to Previous | New Search |
![]() |