Mingyuan Zhou

Courses

Fall 2022: STA 235, Data Science for Business Applications

Fall 2021: STA 235, Data Science for Business Applications

Spring 2020: MIS 385N, Advanced Data Mining / Web Analytics

Fall 2019: STA 371G -- Statistics and Modeling

Fall 2019: STA 380 -- Bayesian Deep Learning

Fall 2018: STA 371G -- Statistics and Modeling

Spring 2018: STA 380 -- Bayesian Methods for Machine Learning

Fall 2017: STA 371G -- Statistics and Modeling

Spring 2017: STA 371G -- Statistics and Modeling

Spring 2016: STA 371G -- Statistics and Modeling

Spring 2015: STA 371G -- Statistics and Modeling

Spring 2014: STA 371G -- Statistics and Modeling

Summer Schools

2015 Machine Learning Summer School (MLSS) in Austin, TX:

Slides for Parametric Bayesian Models (Part I)
Slides for Parametric Bayesian Models (Part II)

Duke-Tsinghua Machine Learning Summer School, August, 2016:

Slides for research presentation: Gamma belief networks (deep latent Dirichlet allocation)
Slides and code for lectures:
- Bayesian factor analysis for real-valued data / Matlab demo code
- Bayesian factor analysis for count data

© June 2022, Mingyuan Zhou