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Intro
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Classroom Contents
Intro and Foundations of Data Science I
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- 1 Intro
- 2 A Brief Description
- 3 Bootcamp Overview
- 4 Sums of independent random variables
- 5 Distributions in Data Science
- 6 The Theorem
- 7 Corollaries
- 8 Exponential, Power Law Distributions
- 9 Dimension Reduction-two methods
- 10 Length Preserving Projection
- 11 Projection with Gaussian Vectors
- 12 Random Projection Theorem
- 13 Means Separated by O(1) Standard Deviations
- 14 Singular Value Decomposition
