Applied Statistics II, 2022, UNC at Chapel Hill

Representative materials include:

1. Homework codes for implementing Linear SVM and Logistic Regression to classify MNIST handwritten data.
2. A paper review presentation on "Goodfellow et. al., Explaining and Harnessing Adversarial Examples," which was presented at the ICLR conference in 2015.
3. Final project that includes a 3-class image classification problem using deep learning.