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 101 OR COMP 140) AND (DSCI 302 OR COMP 330 OR COMP 430) AND (DSCI 301 OR STAT 310 OR STAT 280 OR STAT 305 OR ELEC 303 OR PSYC 339 OR SOCI 382 OR BIOE 439 OR ECON 307)
Description: This course is a practical introduction to machine learning, emphasizing when and how to apply techniques and how to interpret results. Topics covered include regression, classification, dimension reduction, clustering, decision trees, ensemble learning, and neural networks. Mutually Exclusive: Cannot register for DSCI 303 if student has credit for ELEC 478/ELEC 578.