Markov chains are mathematical systems that model transitions between different states with associated probabilities, represented through transition matrices or diagrams. The concept finds practical applications in various fields, from weather prediction to Google's PageRank algorithm, with the ability to simulate real-world phenomena by incorporating probabilistic state transitions.

https://setosa.io/ev/markov-chains/

#mathematics #probability #algorithms #datamodeling #computerscience