|
|
|
Apr 25, 2024
|
|
2018-2019 Graduate Course Catalog [ARCHIVED CATALOG]
|
MAT 695 - Fundamentals of Data ScienceCollege of Arts and Sciences
3 credit(s) At least 1x fall or spring
Double Numbered with: MAT 495
Fundamental methods for data science, such as regression, linear discriminant analysis, k-nearest neighbors, support vector machine, k-means, principal component analysis, and nonlinear dimension reduction. Performance evaluation and model selection. Additional work required of graduate students.
PREREQ: (MAT 331 AND MAT 521 ) OR (MAT 503 AND MAT 523 )
|
|
|