Lecture Schedule

Apr 2 Administrivia and Course Overview. Slides
Apr 4 No class
Apr 9 Linear Algebra Review. Slides For a more detailed overview, see Sections 1,2, and 3.1-3.7 of these notes (thanks to Andrew Ng).
Apr 11 Probability Review. Slides For a more detailed overview, see these notes (thanks to Andrew Ng). An additional nice resource is Chapters 2 and 3 of "All of Statistics" by Larry Wasserman.
Apr 16 Finish up Probability Review. Nearest Neighbor Classification. Slides
Apr 18 Finish Nearest Neighbor Classification. Slides
Apr 23 Midterm 1
Apr 25 Decision Trees. Slides
Apr 30 Overfitting in Decision Trees. Perceptron. Slides
May 2 Perceptron. Slides
May 7 Kernels. Slides
May 9 Finish Kernels. Bagging. Slides
May 14 Bagging and Boosting. Slides
May 16 Finish up Ensemble Learning. Slides
May 21 Midterm 2
May 23 Projections. PCA. Slides
May 28 No Class. Memorial Day.
May 30 PCA. Slides
Jun 4 PCA. k-means. Slides
Jun 6 Multivariate Gaussians. Mixture Models. Draft Slides