BigDataFr recommends: Making data science accessible – Markov Chains

[…] What are Markov Chains?

A Markov chain is a random process with the property that the next state depends only on the current state. For example: If you have the choice of red or blue twice the process would be Markovian if each time you chose the decision had nothing to do with your choice previously (see diagram below). How can Markov Chains help us?mation we want to see if we can predict whether a person earns more than $50k per year. How can tree methods help us? […]

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By Dan Kellett
Source: analyticbridge.com