Markov Chain Monte Carlo - AI & ML Glossary | Farez Vadsaria

Machine Learning Fundamentals

Markov Chain Monte Carlo

Sampling methods for approximating distributions, especially for Bayesian inference in complex models.

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

Bayesian Inference
Sampling
Gibbs Sampling

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machine-learning-fundamentals bayesian-inference sampling gibbs-sampling

Related Terms

Bayesian Inference

Using Bayes' theorem to update beliefs about parameters given data, incorporating uncertainty.

Gibbs Sampling

An MCMC method that samples from conditional distributions to approximate joint distributions.

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