Mathematics and probability · MLD-0698
Markov chain
A stochastic process whose next state depends on the current state rather than the full past.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Build a sampler with local state transitions.
Original caveat
The state must contain enough relevant information.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- Original reference URL ↗