Grades: Total points: 4200 A 93% = 3906 http://homepage.math.uiowa.edu/~idarcy/AT/prelectures.html A- 90% = 3780 https://www.ayasdi.com/resources/ B+ 87% = 3654 youtube, coursera, edX, udacity, etc. B 83% = 3486 B- 80% = 3360 Presentation: 200 (slides due Sunday, will grade out of 100) Final Project: Total 500 Outside Activities: Up to 300 Write report on paper, video, etc Report: Summarize content, evaluate quality. Grade for video: ~50% of time for good report. Make-up for absence: more generously graded. Outside presentation Midterm Redo. Writing/Speaking Center report 15 + 15

Why use PCA in data analysis? Consider the points (0, 0, …, 0), (1, 0, …, 0), (10, 0, …, 0) Add noise to first point (0, 0, …, 0)  (0, 1, …, 1) In R100, d((0, 1, …, 1), (1, 0, …, 0)) = 10 > 9. Add small noise to first point (0, 0, …, 0)  (0, 0.1, …, 0.1) In R39,900, d((0, 0.1, …, 0.1), (1, 0, …, 0)) = 20 > 9. 0 1 10