Lecture Schedule

• Jan 7: The landscape of machine learning Slides

• Jan 9: No lecture

• Jan 11: Nearest neighbor classification Slides

• Jan 14: - contd. -

• Jan 16: The statistical learning framework Slides

• Jan 18: Linear regression Slides

• Jan 21: - contd. -

• Jan 23: Logistic regression Slides

• Jan 25: - contd. -

• Jan 28: Convex optimization Slides

  • Correct KKT example Note

• Jan 30: - contd. -

• Feb 1: - contd. -

• Feb 4: - contd. -

• Feb 6: - contd. -

• Feb 8: Convex programs Slides

• Feb 11: Perceptron Slides

• Feb 13: SVM Slides

• Feb 15: Multiclass linear prediction Slides

• Feb 20: Kernel methods Slides

• Feb 22: - contd. -

• Feb 25: - contd. - Extra Notes

• Feb 27: Decision trees Slides

• Mar 1: Neural nets Updated Slides

• Mar 6: - contd. -

• Mar 8: Generalization theory Notes