Markov Chain

By DeepAI - 2019-05-17

Description

Markov chains are used to model probabilities using information that can be encoded in the current state. Something transitions from one state to another semi-randomly, or stochastically.

Summary

What is a Markov Chain?
To determine the transition probabilities, you have to "train" your Markov Chain on some input corpus.
Observations can be made, but these observations are not usually sufficient to uniquely determine the state of the model.
Applications in Artificial Intelligence There are quite a few applications of Markov Chains to AI -- Markov Chains are useful basically when you want to model something that's in discrete states, but you don't understand how it works.

Topics

NLP (0.22)
Machine_Learning (0.15)
Backend (0.08)

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