Machine

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Across
  1. 2. A trained system that makes predictions from data
  2. 3. The learning phase where a model improves using examples
  3. 7. Information used to train and test models
  4. 10. The difference between a prediction and the correct answer
  5. 11. Using machines to perform tasks with minimal human help
  6. 13. Internal values a model adjusts while learning
Down
  1. 1. Using many neural network layers to learn complex patterns
  2. 4. How often a model predicts correctly
  3. 5. Layered systems of connected nodes inspired by the brain
  4. 6. Method for adjusting network weights to reduce mistakes
  5. 8. Step-by-step methods a computer follows to learn patterns
  6. 9. A collection of examples used for machine learning
  7. 12. Unfair patterns in data that can skew results