Jan 6: Administrivia and Course Overview. Slides
Jan 6: A Geometric View of Linear Algebra. Notes
Jan 10: – contd. –
Jan 13: The Statistical Learning Framework. Notes
Jan 15: Classification: Nearest Neighbors. Notes
Jan 17: -contd.-
Jan 20: -contd.-
Jan 22: -contd.-
Jan 24: Decision Trees. Notes
Jan 27: No class.
Jan 29: -contd.-
Jan 31: -contd.-
Feb 3: -contd.-
Feb 5: -contd.-
Feb 7: No class.
Feb 10: Perceptron. Notes
Feb 12: -contd.-
Feb 14: -contd.-
Feb 17: -contd.-
Feb 19: Multiclass classification. Notes
Feb 21: -contd.-
Feb 24: Kernel. Notes
Feb 26: -contd.-
Feb 28: -contd.-
Mar 2: Finish Kernels. Start Bias and Variance Notes
Mar 4: Finish Bias and Variance. Start Ensemble Learning Notes
Mar 6: -contd.-
Mar 9: -contd.-
Mar 11: Some tips for Practical ML Slides