Mathematics and probability · MLD-0710
Maximum likelihood estimation
Choosing parameters that maximize the likelihood of 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
Fit class probabilities from observed frequencies.
Original caveat
Unregularized MLE can overfit.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: MLE.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- Original reference URL ↗