Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 214 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) wrong labels (d) clear, sharp examples
2. 2.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) checking labels twice (d) clear, sharp examples
3. 3.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) checking labels twice (d) labels added at random
4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) blurry, unclear photos (d) very few examples
5. 5.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
6. 6.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
8. 8.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
10. 10.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) copies of one photo (d) very few examples
11. 11.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) blurry, unclear photos (d) photos in many lights
12. 12.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
13. 13.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) clear, sharp examples (d) wrong labels
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
15. 15.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
16. 16.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) only one kind of example (d) many varied examples
17. 17.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
18. 18.True or false: “new data for testing” is good for training a model. (a) False (b) True
19. 19.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
20. 20.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
21. 21.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) copies of one photo (d) photos in many lights
23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
26. 26.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
28. 28.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
29. 29.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) testing on training data (d) only one kind of example
30. 30.True or false: “very few examples” is bad for training a model. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) only one kind of example (d) clear, sharp examples
32. 32.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
34. 34.True or false: “many varied examples” is bad for training a model. (a) True (b) False
35. 35.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) a sticker on a laptop (d) the font size
36. 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
37. 37.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) examples of every type
38. 38.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
39. 39.True or false: “examples of every type” is good for training a model. (a) True (b) False
40. 40.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) new data for testing (d) only one kind of example

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