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