STA 141C Big Data & Statistical Computing (Spring 2021)
- Instructor: Krishnakumar Balasubramanian
- Lead TA: Tesi Xiao; TA: Chi Po Choi
| Discussion Topics | Materials | |
|---|---|---|
| Week 1 | Introduction to Python Programming | Link |
| Linear Algebra in Python | Link | |
| Power Method | Link | |
| Week 2 | Working on a Remote Server | Link |
| Parallel Computing in Python | Link | |
| Week 3 | Kernel PCA | Link |
| Week 4 | Spectral Clustering | Link |
| Week 5 | Non-linear Dimensionality Reduction - Manifold Learning | Link |
| Week 6 | (Stochastic) Gradient Descent in Linear and Logistic Regression | Link |
| Week 7 | Support Vector Machine | Link |
| Week 8 | Tree-based Models | Link |