STAT426

Introduction to Data Science and Machine Learning

Reviews for this course Testudo

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

Matthias Wellershoff

16 reviews
Average rating: 3.81

Spring 2024

Fushuai Jiang

27 reviews
Average rating: 2.52

Fall 2023

Deep Ray

2 reviews
Average rating: 5.00

Spring 2023

Vincent Lyzinski

4 reviews
Average rating: 4.25

Past Semesters

Wojciech Czaja

33 reviews
Average rating: 4.00

Benjamin Kedem

9 reviews
Average rating: 2.78

Vincent Lyzinski

4 reviews
Average rating: 4.25

Scott Preston

18 reviews
Average rating: 2.89

Vincent Lyzinski

4 reviews
Average rating: 4.25

Vincent Lyzinski

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.