(3 credits) Offered every fall and spring semester. CMSE 381 - Fundamentals of Data Science Methods. Data science methods, including unsupervised learning and ...

CMSE381 - Fundamentals of Data Science Methods#. Important Course Information#. Where: EGR 2243. When: MWF 3:00-4:10pm. Slack: cmse-courses.slack.com, ...

Course Description: Data science methods, including unsupervised learning and supervised learning, feature extraction, dimension reduction, clustering, ...

If you have found this webpage before the semester has started, and in particular if the pdf still says “DRAFT” on it, this syllabus is not final!

Course Description: Data science methods, including unsupervised learning and supervised learning, feature extraction, dimension reduction, clustering, ...

This course has the contents for the CMSE381 course in Fall 2022. Check back here for class slides and jupyter notebooks.

The following is a list of links to course websites. This is intended to include current courses and may change each semester.

Current and upcoming classes · CMSE 381 – Fundamentals of Data Science Methods · Fall 2024: Syllabus TBD · Fall 2023: Syllabus, Course Content.

All CMSE courses at Michigan State University (MSU) in East Lansing, Michigan ... CMSE 381. Fundamentals of Data Science Methods · CMSE 382. Optimization Methods ...

2 мар. 2024 г. · I was planning on taking CMSE 381 and CMSE 382 next semester even though CMSE 381 is a pre requisite for CMSE 382.