Undergraduate course, University of Washington, Department of Statistics, 2022
Statistical and mathematical descriptions of social networks. Topics include graphical and matrix representations of social networks, sampling methods, statistical analysis of network data, and applications.
Undergraduate course, University of Washington, Department of Statistics, 2022
Provides practical introduction to machines learning. Modules include regression, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets.
Undergraduate course, University of Washington, Department of Statistics, 2020
Undergraduate course, University of Washington, Department of Statistics, 2020
Undergraduate course, University of Washington, Department of Statistics, 2020