Markov Chain Examples and Use Cases - A Tutorial on Markov Chains

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A Markov Chain is a collection of random variables that visit various states by using the “Markov property”. This property, also known as “memorylessness”, states that the probability distribution of the future state is only dependent on the present state. In this tutorial, we provide an introduction to the concept of Markov Chains and give real-world examples to illustrate how and why Markov Chains are used. Web developers will be amazed at the ubiquity of Markov Chains and how they can be used to help improve their product.

Watch this video to learn:

- A brief history of Markov Chains
- What are Markov Chains
- How are Markov Chains used







Tags:
Markov Chain
Markov Chain Examples
Markov property
memorylessness
What are Markov Chains