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Courses - Spring 2022
STAT
Statistics and Probability Department Site
STAT426
Introduction to Data Science and Machine Learning
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Minimum grade of C- in MATH241 or MATH340; and minimum grade of C- in MATH240, MATH461 or MATH341; and minimum grade of C- in STAT400 or STAT410; students who have taken courses with content comparable to STAT400/410 may request permission of the instructor.
Credit only granted for: STAT426 or CMSC320.
An introductory course to the recent developments in the fields of data science and machine learning. Emphasis will be given to mathematical and statistical understanding of commonly used methods and processes.