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