Subject to change.
| Date | Topics | Readings |
|---|---|---|
| Th Jan 25 | Welcome to Machine Learning | |
| Tu Jan 30 | Decision Trees | CIML 1 + Syllabus |
| Th Feb 1 | Limits of learning; Overfitting/Underfitting | CIML 2 |
| Tu Feb 6 | Geometry and nearest neighbors | CIML 3-3.3 |
| Th Feb 8 | K-means clustering | CIML 3.4-3.5 |
| Tu Feb 13 | Perceptron I | CIML 4-4.5 |
| Th Feb 15 | Perceptron II | CIML 4.5-4.7 |
| Tu Feb 20 | Practical Issues | CIML 5-5.5 |
| Tu Feb 27 | Learning from Imbalanced Data | CIML 6.1 |
| Th Mar 1 | Multiclass Classification | CIML 6.2-6.3 |
| Tu Mar 6 | Catch-up/Practice Problems | |
| Th Mar 8 | Midterm | |
| Tu Mar 13 | Bias and Fairness | CIML 8 |
| Th Mar 15 | Linear Models | CIML 7.1-7.3 |
| Spring Break! | ||
| Tu Mar 27 | Gradient Descent and Subgradient Descent | CIML 7.4-7.5 (Optionally 7.6) |
| Th Mar 29 | Probabilistic Models I | CIML9-9.5 |
| Tu Apr 3 | Probabilistic Models II | CIML9.6-9.7 |
| Th Apr 5 | PCA | CIML15.2 |
| Tu Apr 10 | Practice Problems | |
| Th Apr 12 | Neural Networks I | CIML10-10.3 |
| Tu Apr 17 | Neural Networks II | CIML10.4-10.6 |
| Th Apr 19 | Deep Learning I | |
| Tu Apr 24 | Deep Learning II | |
| Th Apr 26 | Kernels | CIML11-11.3 |
| Tu May 1 | SVMs I | CIML11.4-11.6 |
| Th May 3 | SVMs II | CIML15-15.1 |
| Tu May 8 | Practice Problems | |
| Th May 10 | Review and Perspectives | Wed May 16 | Final Exam |