University of Calgary
DATA 607 - Statistical and Machine Learning - Summer 2023
Latent variable models for clustering and dimension reduction. Parametric and nonparametric methods for regression and classification including naïve Bayes, decision trees, random forests, and boosting. Model assessment and selection. Deep learning.
This course may not be repeated for credit.This course will be offered next in Winter 2024.
This course may not be repeated for credit.
Hours
- H(3-0)
Prerequisite(s)
- Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics or the Master of Data Science and Analytics with a specialization in Data Science.
Sections
LEC 1 MW 17:00 - 19:45 TI STUDIODE Qingrun Zhang Notes: Please refer to your Student Centre for fees associated with this class. This information will be available before the first day of classes.
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