Track quiz
Before 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.