STAT426

Introduction to Data Science and Machine Learning

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.

Fall 2024

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Average rating: 3.78

Spring 2024

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Fall 2023

1 review
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Spring 2023

4 reviews
Average rating: 4.25

Past Semesters

32 reviews
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9 reviews
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4 reviews
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4 reviews
Average rating: 4.25

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.