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