The No Free Lunch theorems and their Razor
📖 Description
The No Free Lunch (NFL) family of theorems contains some of the most misunderstood theorems of machine learning. They apply to learning[[1]](#fn-jLW5DsyqFrCmnZQv8-1) and optimization[[2]](#fn-jLW5DsyqFrCmnZQv8-2) and, in rough terms, they state:
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +15 | Always |
| Vibey Doom | +2 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
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"Useful research for the community"
"Useful research for the community"
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