Markov Chains and Predicting the Future

Markov Chains, named after mathematician Andrey Markov, are models used to predict the future state of systems based solely on their present state. These versatile models find applications in various fields including economics, finance, biology, physics, and computer science, notably underpinning Google’s PageRank algorithm and aiding in stock market analysis and speech recognition.