# Hidden Markov Model

> Source: https://sukruyusufkaya.com/en/glossary/hidden-markov-model
> Updated: 2026-05-13T20:58:21.852Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** A sequential probabilistic structure that models hidden state transitions behind observable outputs.

<p>A Hidden Markov Model is used to capture how unobserved states evolve in time-dependent or sequential data. It has historically played an important role in speech recognition, biological sequences, user behavior analysis, and process modeling. Its key strength lies in modeling latent-state structure behind observed outputs. However, for more complex sequence problems, it should be compared carefully against modern deep learning approaches.</p>