Spring 2024
Chapter 0 - Introduction [pdf]
Chapter 1 - Math Foundations - Linear Algebra [pdf]
Chapter 1 - Math Foundations - Statistics [pdf]
Chapter 1 - Math Foundations - Optimization [pdf]
Chapter 2 - Regression - Linear/Nonlinear Regression [pdf]
Chapter 2 - Regression - Model Selection and Regularization [pdf]
Chapter 2 - Regression - Logistic Regression and Classification [pdf]
Chapter 3 - SVM and kernels [pdf]
Chapter 4 - Unsupervised learning - PCA [pdf]
Chapter 4 - Unsupervised learning - k-means [pdf]
Chapter 5 - Multi-layer perceptron - 1 [pdf]
Chapter 5 - Multi-layer perceptron - 2 [pdf]
Chapter 6 - CNN - 1 [pdf]
Chapter 6 - CNN - 2 [pdf]
Chapter 7 - RNN - 1 [pdf]
Chapter 7 - RNN - 2 [pdf]