PageRank   3463
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
RT RT : And this is how removed & making every…
december 2017 by downhillmarketing
RT RT : And this is how removed & making every…
december 2017 by downhillmarketing
RT An Introductory Guide To Google Search Rankings /
december 2017 by downhillmarketing