Machine Learning

Some of the notes are hand-written. The others are typed in markdown.

• 1 Introduction
• 2 Gradient Descent
• 3 Classification and Regression
• 4 Regularization
• 5 SVM
• 6 Generalization Theory
• 7 Neural Networks
• 8 Mid-term review
• 9 Decoupling
• 10 Decision Tree
• 11 Clustering
• 12 Robust ML
• 13 Differential Privacy
• 14 Hyperparameter Tuning
• 15 Final Review