Slides
Lecture 1: Overview of Statistical Learning
Lecture 2: Overview of Unsupervised Learning
Lecture 3: Linear Model Selection and Regularization
Lecture 4: Moving Beyond Linearity
Lecture 6: Foundations of Representation Learning
Lecture 7: Autoencoders and Variational Autoencoders
Lecture 8: Generative Models with GANs and Synthetic Data
Lecture 9: Self-Supervised Learning and Representation Learning in Health Data
Chapter Presentations
Presentation 1