Across
- 2. Deriving informative variables from raw data.
- 4. AI concept linking intelligence to physical presence.
- 5. Input designed to fool AI systems.
- 9. Problem-solving shortcut or rule of thumb.
- 10. Technique preventing overfitting in models.
- 11. Clarity of understanding model decisions.
- 12. Probabilistic inference approach using prior beliefs.
- 13. Structured framework of knowledge representation.
- 14. AI using logic and explicit rules.
Down
- 1. Search algorithm undoing choices when stuck.
- 3. Model performance on unseen data.
- 6. Too many variables in a model.
- 7. Mathematical space underlying data structure.
- 8. Optimization method minimizing cost function.
- 9. Model setting tuned before training.