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Mathematics of Data Science APMA 940 (4)
Theory and algorithms for problems in data science with an emphasis on mathematical aspects. Topics may include dimension reduction, supervised learning, including regression and classification, unsupervised learning, including clustering and latent variable modeling, deep learning, algorithms for big data, and foundations of learning.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Nick Dexter |
May 12 – Aug 9, 2021: Wed, Fri, 9:30–11:20 a.m.
|
Burnaby |