1. Grades: Total points: 4200
A % =
A % =
B+ 87% = youtube, coursera, edX, udacity, etc.
B % = 3486
B % = 3360
Presentation: (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

2. 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.