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Twitter
Why targeting long-tail topics or can help you improve and drive
PageRank  webtraffic  from twitter
20 days ago by jhill5
How PageRank Really Works: Understanding Google -Majestic Blog
Understanding the inner workings of Google's PageRank can be quite difficult so how did SEO's figure it out? Here's how to understand Google's algorithm.
pagerank  algorithm  majestic 
november 2018 by nharbour
Markov Chains explained visually
With two states (A and B) in our state space, there are 4 possible transitions (not 2, because a state can transition back into itself). If we're at 'A' we could transition to 'B' or stay at 'A'. If we're at 'B' we could transition to 'A' or stay at 'B'. In this two state diagram, the probability of transitioning from any state to any other state is 0.5.

Of course, real modelers don't always draw out Markov chain diagrams. Instead they use a "transition matrix" to tally the transition probabilities. Every state in the state space is included once as a row and again as a column, and each cell in the matrix tells you the probability of transitioning from its row's state to its column's state. So, in the matrix, the cells do the same job that the arrows do in the diagram.
math  statistics  visualization  pagerank  data_science 
august 2018 by liberatr
Twitter
RT An Introductory Guide To Google Search Rankings /
PageRank  SEO  from twitter
december 2017 by downhillmarketing
Twitter
RT An Introductory Guide To Google Search Rankings /
PageRank  SEO  from twitter
december 2017 by downhillmarketing

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