Introductory Lectures on Mathematical Foundations of DataScience
This is a set of introductory lectures based on Chapter 2 and Chapter 3 of

Mathematical Foundations of DataScience

Instructor: Prof. Ravi Kannan

Schedule of Lectures
Date Topic Material
Oct 23 Introduction to the series, Geometry in High Dimensions Slides_1 Slides_2
Oct 25 Geometry in High Dimensions: Volume Slides_3
Oct 27 Geometry in High Dimensiona: Volume continued, Sums of Random Variables Slides_4
Oct 30 Random Projection and Applications Slides_5
Nov 2 Randomization and Massive matrices Slides_6
Nov 6 Sampling large matrices, Introduction to SVD Slides_7
Nov 8 Introduction to SVD continued Slides_8