Across
- 2. Giving examples to a model so it can learn.
- 3. Learning: When a human trains a model using examples.
- 6. Recognition: Noticing things that repeat.
- 7. Paying attention to a user’s feelings and needs in design.
- 8. Interactions to receive data and display results.
- 12. Learning: Finding patterns in data without labels.
- 14. Someone who uses software or hardware.
- 15. A step-by-step set of instructions designed to perform a task.
- 16. A first or early model of a product to test assumptions.
- 20. An action or occurrence detected by a computer.
- 21. Thinking: Using thinking strategies computer scientists use.
- 22. Programming structures that repeat a block of code multiple times.
- 23. A computer program designed to make a decision.
- 24. The output you are trying to predict with a model
Down
- 1. Inputs that a model uses to make decisions.
- 4. The process of finding and fixing errors or bugs in code.
- 5. Arranging steps in a logical order to complete a task.
- 9. (User Interface): Visual elements of a program a user interacts with.
- 10. Breaking big problems into smaller parts.
- 11. Focusing on the important stuff and ignoring what’s not needed.
- 13. Science: The study of what machines can do for us.
- 17. Handler: Part of a program that runs when a specific event happens.
- 18. Learning: How computers recognize patterns without explicit programming.
- 19. A piece of software designed for a purpose.