Lecture Schedule

  • Apr 1: Administrivia and Course Overview. Slides

  • Apr 3: A Geometric View of Linear Algebra. Notes

  • Apr 5: – contd. –

  • Apr 8: Classification: Nearest Neighbors. Notes
    The Statistical Learning Framework. Notes

  • Apr 10: Nearest Neighbors Notes

  • Apr 12: - contd. -

  • Apr 15: Guest Lecture by Sanjoy Dasgupta. Decision Trees. Notes

  • Apr 17: - contd. -

  • Apr 19: - contd. -

  • Apr 22: - contd. -

  • Apr 24: - contd. -

  • Apr 26: Perceptron. Notes

  • Apr 29: - contd. -

  • May 1: - contd. -

  • May 3: - contd. -

  • May 6: Finished Perceptron. Kernels. Notes

  • May 8: - contd. -

  • May 10: - contd. -

  • May 13: - contd. -

  • May 15: - contd. -

  • May 17: Finish Kernels. Start Bias and Variance Notes

  • May 20: - contd. -

  • May 22: Finish Bias and Variance. Start Ensemble Learning Notes

  • May 24: - contd. -

  • May 27: Memorial Day. No class.

  • May 29: Finish Ensemble Learning. Start Viola-Jones Slides

  • May 31: Some tips for Practical ML Slides

  • June 3: - contd. -

  • June 5: Data privacy Slides