Artificial Intelligence

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Across
  1. 4. Data that can be counted or measured.
  2. 5. Learning in which a human trains a model to learn with examples.
  3. 6. Giving examples to a model so it can learn.
  4. 8. A computer program designed to make a decision.
  5. 9. Data that can be separated into groups.
  6. 10. The output you are trying to decide or predict with a model.
Down
  1. 1. The inputs that a model uses to make decisions.
  2. 2. When a decision favors some things and de-prioritizes or excludes others.
  3. 3. Learning by finding patterns in data that doesn't have any labels.
  4. 7. Predicting a category based on other features.
  5. 8. Learning in which computers recognize patterns and make decisions without being explicitly programmed.
  6. 11. Guidelines for good behavior.