Lecture Schedule

  • Jan 6: The landscape of machine learning Slides

  • Jan 8: Nearest neighbor classification Slides

  • Jan 10: - contd. -

  • Jan 13: Statistical learning framework Slides

  • Jan 15: - contd. -

  • Jan 17: Linear regression Slides

  • Jan 20: - contd. -

  • Jan 22: Logistic regression Slides

  • Jan 27: No lecture

  • Jan 29: Convex Optimization Slides

  • Jan 31: - contd. -

  • Feb 3: - contd. -

  • Feb 5: - contd. -

  • Feb 7: - contd. -

  • Feb 10: - contd. -

  • Feb 12: Optimization and duality Slides Perceptron Slides

  • Feb 14: Support vector machine Slides

  • Feb 17: Holiday

  • Feb 19: Multiclass classification Slides

  • Feb 24: Decision tree Slides

  • Feb 26: Kernels I Slides

  • Feb 28: Kernels II Slides

  • Mar 2: Neural nets Slides

  • Mar 4: - contd. -

  • Mar 6: Generalization theory Slides