This repository contains a collection of data structures and algorithms implemented in various programming languages. It is designed to help learners understand key concepts through hands-on examples. Contributions and improvements are welcome!
Hidden Markov Models (HMMs) are statistical models that describe a sequence of observable events, assuming a hidden underlying state. HMMs consist of a set of hidden states, a transition probability matrix between states, and an observation probability matrix that defines the likelihood of observing a particular event given a hidden state.
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Description
Hidden Markov Models (HMMs) are statistical models that describe a sequence of observable events, assuming a hidden underlying state. HMMs consist of a set of hidden states, a transition probability matrix between states, and an observation probability matrix that defines the likelihood of observing a particular event given a hidden state.
Self-service