Mathematics and probability · MLD-0647
Likelihood
A function of model parameters measuring how compatible they are with observed data.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Score parameter choices using observed labels.
Original caveat
Likelihood is not generally a probability distribution over parameters.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- Original reference URL ↗