Course Schedule and Catalog
Course Catalog - 2020-2021
DSCI 303 - MACHINE LEARNING FOR DS
Long Title: MACHINE LEARNING FOR DATA SCIENCE
Department: Data Science
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): (DSCI 301 OR STAT 315 OR STAT 310) AND (DSCI 302 OR COMP 330)
Description: This course is an introduction to concepts, methods, best practices, and theoretical foundations
of machine learning. Topics covered include regression, classification, kernels, dimensionality
reduction, clustering, decision trees, ensemble learning, regularization, learning
theory, and neural networks. Recommended Prerequisite(s): CAAM 334 or CAAM 335 or MATH 355 Mutually Exclusive: Cannot register for DSCI 303 if student has credit for ELEC 478/ELEC 578.