The no free lunch theorem states that no learning algorithm is universally best for all possible problems without distributional assumptions.
AI Glossary
No Free Lunch Theorem
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The no free lunch theorem states that no learning algorithm is universally best for all possible problems without distributional assumptions.
Definition
Plain English explanation
No algorithm wins on every possible problem.
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Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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