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Hidden Markov Model

A statistical model with hidden states that transition probabilistically, generating observable outputs.

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  1. Latent Variable ✓ understood

    Hidden or unobserved variables in a model that influence observed data but aren't directly measured.

  2. Hidden Markov Model · you are here ✓ understood

A statistical model with hidden states that transition probabilistically, generating observable outputs.

This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.

  • Latent Variable
  • Sequence Model
  • Viterbi

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Foundations Expectation-Maximization An iterative algorithm for finding maximum likelihood estimates in models with latent variables. Neural Networks Recurrent Neural Network A neural network architecture with loops that allow information to persist, designed for sequential data like text and time series. Language & LLMs Part-of-Speech Tagging Labeling words in text with their grammatical roles (noun, verb, adjective, etc.). Language & LLMs Speech Recognition Converting spoken language into text using acoustic models and language models, now dominated by deep learning. Agents & RL Markov Decision Process A mathematical framework for modeling sequential decision-making with states, actions, rewards, and transition probabilities.