Courses

Open Courses

Lecture Notes

  • Logistic Regression: Model, Algorithms, and Implementation. [pdf]

  • Singular Value Decomposition (SVD) and Principal Component Analysis (PCA). [pdf]

  • BackPropagation for Fully-Connected and Convolutional Neural Networks. [pdf]

  • Parallel Computing for Empirical Risk Minimization. [pdf]

  • Deep Reinforcement Learning. [pdf]

  • Data Evasion and Poisoning Attacks against Machine Learning. [pdf]