Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 443 · 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) checking labels twice (b) new data for testing (c) wrong labels (d) photos in many lights
2. 2.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
3. 3.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) wrong labels (d) checking labels twice
4. 4.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
5. 5.True or false: “very few examples” is bad for training a model. (a) False (b) True
6. 6.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
7. 7.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
8. 8.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
9. 9.True or false: “wrong labels” is good for training a model. (a) False (b) True
10. 10.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) correct labels
11. 11.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) new data for testing (d) correct labels
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.Which of these is good for training a model? (a) photos in many lights (b) copies of one photo (c) blurry, unclear photos (d) only one kind of example
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
18. 18.True or false: “testing on training data” is good for training a model. (a) True (b) False
19. 19.True or false: “testing on training data” is bad for training a model. (a) True (b) False
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) copies of one photo (d) new data for testing
23. 23.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
24. 24.True or false: “photos in many lights” is good for training a model. (a) True (b) False
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
26. 26.True or false: “very few examples” is good for training a model. (a) False (b) True
27. 27.True or false: “new data for testing” is good for training a model. (a) False (b) True
28. 28.True or false: “new data for testing” is bad for training a model. (a) True (b) False
29. 29.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
31. 31.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
32. 32.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) only one kind of example (d) examples of every type
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
35. 35.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
36. 36.Which of these is bad for training a model? (a) labels added at random (b) examples of every type (c) new data for testing (d) photos in many lights
37. 37.True or false: “correct labels” is bad for training a model. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) examples of every type (d) checking labels twice
39. 39.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
40. 40.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down

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