Overview A. Math Review 1. Tensors and Shapes B. Machine Learning 2. Introduction to Machine Learning 3. Regression & Model Assessment 4. Classification 5. Kernel Learning C. Deep Learning 6. Deep Learning Overview 7. Standard Layers 8. Graph Neural Networks 9. Input Data & Equivariances 10. Equivariant Neural Networks 11. Explaining Predictions 12. Attention Layers 13. Deep Learning on Sequences

