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Oct 03, 2024
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CS 4786 - [Machine Learning for Data Science] (SDS-AS) Spring. Not offered: 2022-2023. Next offered: 2023-2024. 4 credits. Student option grading.
Prerequisite: probability theory (BTRY 3080 , ECON 3130 , MATH 4710 , or strong performance in ENGRD 2700 or equivalent), linear algebra (strong performance in MATH 2940 or equivalent), CS 4780 ; CS 2110 or equivalent programming proficiency. Co-meets with CS 5786 .
Staff.
An introduction to machine learning for data-science applications. Topics include dimensionality-reduction (such as principal components analysis, canonical correlation analysis, and random projection); clustering (such as k-means and single-link); probabilistic modeling (such as mixture models and the EM algorithm).
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