Teaching Materials

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Model-based Inference (2020)

• Section 1: Maximum Likelihood Estimation
• Section 3: Principal Component Analysis
• Section 5: Random Forests and GAMs
• Section 7: Latent Dirichlet Allocation and Text Scraping

Programming for Political Scientists (2020)

• Lecture 1: Basic Data Wrangling
• Lecture 2: Intro to Tidyverse
• Lecture 3: Functional Programming
• Lecture 4: Parallel Programming