Anyone knows about Markov Chains?

  • Context: Undergrad 
  • Thread starter Thread starter nktvnvn
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SUMMARY

Markov Chains are mathematical systems that transition from one state to another within a finite or countable number of possible states. They are defined by their memoryless property, meaning the next state depends only on the current state and not on the sequence of events that preceded it. A practical example can be found in various applications, including predictive text and board games. For further details, refer to resources such as Wikipedia and MathWorld.

PREREQUISITES
  • Basic understanding of probability theory
  • Familiarity with stochastic processes
  • Knowledge of state transition diagrams
  • Experience with mathematical modeling
NEXT STEPS
  • Study the mathematical foundations of Markov Chains
  • Explore applications of Markov Chains in machine learning
  • Learn about Hidden Markov Models (HMMs)
  • Investigate algorithms for Markov Chain Monte Carlo (MCMC) methods
USEFUL FOR

Students, data scientists, and researchers interested in probability theory, machine learning, and stochastic processes will benefit from this discussion on Markov Chains.

nktvnvn
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Hi all

Does anyone in this forum have a firm understanding of Markov Chains? I searched for this thing on the Net but could not find very useful information. Most of them are very abstract.

I appreciate it if anyone can please show me an easy-to-follow example to illustrate the purpose of Markov Chains.

Thanks a lot.
 
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