Subject/Course Search Results

CMSE 381  Fundamentals of Data Science Methods (Interim New)


Semester
Fall of every year, Spring of every year
Credits
Total Credits: 4   Lecture/Recitation/Discussion Hours: 4
Prerequisite
(STT 180 and MTH 314 and CMSE 201 and STT 380) or (STT 180 and MTH 314 and CMSE 201 and STT 441 and STT 442)
Description
Fundamental concepts of data science methods, including unsupervised learning and supervised learning, feature extraction, dimension reduction, clustering, regression and classification.
Interdepartmental With
Computational Mathematics, Science, and Engineering
Administered By
Computational Mathematics, Science, and Engineering
Effective Dates
FALL 2019 - Open