| # | date | topic | description |
|---|---|---|---|
| 1 | 26-Aug-2024 | Introduction and Introductions | |
| 2 | 28-Aug-2024 | Recap of Linear Algebra and ML Math | |
| 02-Sep-2023 | Labor Day Holiday | ||
| 3 | 04-Sep-2024 | Foundations of Learning | |
| 4 | 09-Sep-2024 | PAC Learning | |
| 5 | 11-Sep-2024 | Linear Learning Models | |
| 6 | 16-Sep-2024 | Principal Component Analysis | |
| 7 | 18-Sep-2024 | Curse of Dimensionality | |
| 8 | 23-Sep-2024 | Bayesian Decision Theory | |
| 9 | 25-Sep-2024 | Parameter Estimation: MLE | |
| 10 | 30-Sep-2024 | Parameter Estimation: MAP+Naive Bayes | |
| 11 | 02-Oct-2024 | Logistic Regression | |
| 12 | 07-Oct-2024 | Kernel Density Estimation | |
| 13 | 09-Oct-2024 | Support Vector Machines | |
| 14 | 14-Oct-2024 | Matrix Factorization | |
| 15-Oct-2023 | midpoint | ||
| 15 | 16-Oct-2024 | Stochastic Gradient Descent | |
| 16 | 21-Oct-2024 | K-means clustering | |
| 17 | 23-Oct-2024 | Expectation Maximization |
| # | date | topic | description |
|---|---|---|---|
| 18 | 28-Oct-2024 | Automatic Differentiation | |
| 19 | 30-Oct-2024 | Nonlinear Embedding Approaches | |
| 20 | 04-Nov-2024 | Model Comparison I | |
| 21 | 06-Nov-2024 | Model Comparison II | |
| 22 | 11-Nov-2024 | Model Calibrarion | |
| 23 | 13-Nov-2024 | Convolutional Neural Networks | |
| 24 | 18-Nov-2024 | Word Embedding |