Introductory Lectures on Mathematical Foundations of DataScience
This is a set of introductory lectures based on

Mathematical Foundations of DataScience

Instructor: Prof. Ravi Kannan

Schedule of First Series of Lectures based on Chap 2 and Chap 3 (Also available on Youtube)
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

Schedule of Second Series of Lectures

Date Topic Material
Jan 17 Introduction to MCMC Slides_1
Jan 19 Introduction to MCMC Slides_2
Jan 31 MCMC Continued Slides_3
Feb 2 Introduction to MCMC Slides_4