Additional mathematical and learning concepts · MLD-0867
PAC learning
A learning-theory framework requiring a sufficiently accurate predictor with high probability under stated assumptions and sample budgets.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Analyze sample requirements for a classifier family.
Original caveat
The guarantees depend on the formal learning setting.
Context and aliases
Level: Advanced. Stages: Theory · Training · Evaluation.
Tags: ML · DL.
Aliases: Probably approximately correct learning.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- scikit-learn User Guide ↗ · Consulted
- Original reference URL ↗