Jan 9: Administrivia and Course Overview. Slides
Jan 11: A Geometric View of Linear Algebra. Notes
Jan 13: – contd. –
Jan 16: No lecture (MLK Day)
Jan 18: No lecture (Work on Practice Problem 1 instead)
Jan 20: Classification: Nearest Neighbors. Notes
Jan 23: - contd. -
Jan 25: Decision Trees. Notes
Jan 27: - contd. -
Jan 30: - contd. -
Feb 1: - contd. -
Feb 3: - contd. -
Feb 6: Perceptron. Notes
Feb 8: Midterm
Feb 10:Perceptron contd.
Feb 13: - contd. -
Feb 15: No lecture
Feb 17: - contd. -
Feb 20: No lecture (President's Day)
Feb 22: Finish up Linear Classification. Notes Begin Kernels Notes
Feb 24: - contd. -
Feb 27:
Mar 1:
Mar 3:
Mar 6: Bias-Variance. Notes
Mar 8: Boosting. Notes
Mar 10:
Mar 13:Viola and Jones Notes Some tips on Practice of ML Notes
Mar 15:
Mar 17: