Track quiz
Show on a big screenBefore the questions, here is the line to keep from each idea.
| Idea | The line to keep |
|---|---|
| The data science loop | Collect and clean the data. Train a model. Improve it with fresh data. |
| Data that fits the question | A data-driven answer needs data that matches the question. |
| How a computer sees | A vision system usually tidies the picture first. Then it finds features, and names, locates or follows objects. |
| How a computer reads | NLP cuts text into words and tidies them. Then it works out grammar and meaning. |
A canteen table lists one order twice by mistake. Which part of the loop fixes that?
A model was trained last year. This month its guesses are worse. What can help?
A school wants to guess how many chairs a hall needs. Which data fits best?
Cinema ticket sales are used to guess tomorrow's milk sales. Why may it fail?
A camera takes a picture. Which step usually comes next in a vision system?
A system boxes each bus in a photo of a bus stand. Which step is that?
Why is noise removed before edges are found?
Which step cuts a sentence into words?
Stemming chops the ends of words. What does it do to plays and played?
The word date can mean a fruit or a calendar day. Which job picks the right meaning?
Tables, pictures and messages each have steps you can now follow. Next comes AI in Industries.
Reveal every answer to finish this lesson.