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Chapters:
0:00 Intro
1:00 Defining Markov Chains
2:00 Introducing the Problem
4:08 Modeling Markov Chains
6:26 Stationary Distributions
7:20 Uniqueness of Stationary Distributions (Irreducibility)
9:11 Convergence of Stationary Distributions (Periodicity)
12:15 Ergodic Theorem
13:32 Computing Stationary Distributions
17:43 Practically Computing Stationary Distributions
19:29 PageRank Algorithm
23:12 Sponsored Message (Brilliant)
24:25 Recap/Conclusion
In the late 1990’s two PhD Students Larry Page and Sergey Brin came up with an algorithm that revolutionized search called PageRank. In this video we discuss some of the beautiful mathematical ideas and complexities of PageRank. Fundamentally, PageRank is all about calculating stationary distributions of Markov chains. We talk about some of the challeng
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