Lecture Schedule

  • Jan 4: Administrivia and Course Overview. Notes

  • Jan 6: A Geometric View of Linear Algebra. Notes

  • Jan 8: – contd. –

  • Jan 11: Gradients. Notes

  • Jan 13: The Statistical Learning Framework. Notes

  • Jan 15: – contd. –

  • Jan 18: – contd. –

  • Jan 20: Classification: Nearest Neighbors. Notes

  • Jan 22: – contd. –

  • Jan 25: Decision Trees. Notes

  • Jan 27: – contd. –

  • Jan 29: – contd. –

  • Feb 1: -contd.-

  • Feb 3: -contd.-

  • Feb 5: Perceptron. Notes

  • Feb 8: -contd.-

  • Feb 10: -contd.-

  • Feb 12: Logistic Regression. Notes

  • Feb 15: -contd.-

  • Feb 17: -contd.-

  • Feb 19: -contd.-

  • Feb 22: -contd.-

  • Feb 24: Kernel. Notes

  • Feb 26: Kernelized Logistic Regression Notes

  • Mar 1: Bias and Variance Notes

  • Mar 3: Ensemble Learning Notes