AI Domains and Predictive Techniques

Sample questions

Real questions from this chapter, as the app sets them. Tap Answer to see the answer and working.

Section A · multiple choice

1. 1.

   Predicting a number, like tomorrow’s temperature, from past data is:

   1. clustering
   2. translation
   3. classification
   4. regression

   Answer

   (d) regression

2. 2.

   Which AI domain is mainly used in a machine that spots damaged fruit on a belt?

   1. Automation only
   2. Data Science
   3. Computer Vision
   4. Natural Language Processing

   Answer

   (c) Computer Vision

3. 3.

   Which predictive technique fits marking a message as "urgent" or "not urgent"?

   1. sorting by size
   2. clustering
   3. regression
   4. classification

   Answer

   (d) classification

Section B · short answer

1. 4.

   What is the difference between classification and regression?

   Answer

   Classification predicts a group or label (cat or dog); regression predicts a number (a price or a temperature).

2. 5.

   Name the AI domain (Computer Vision, Natural Language Processing or Data Science): (a) using past sales figures to plan how much stock to order (b) a program that reads handwriting from a scanned page

   Answer

   (a) Data Science (b) Computer Vision

Section C · long answer

1. 6.

   Explain classification, regression and clustering with one everyday example each, and say what kind of answer each gives.

   Answer

   Classification: sorting fruit photos into apple or mango (a label). Regression: predicting how many units a shop will sell next week (a number). Clustering: grouping songs that sound alike with no labels (groups found by the machine).

Fresh sheets for your child

In the app, every AI Domains and Predictive Techniques sheet is new: the app remembers the questions your child has already had and leaves them out. Print the sheet as a PDF, or use notebook mode and write the answers in a notebook.

Coming soon for Android and iPhone.

More Class 7 Computational Thinking and AI