Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 266 · 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) labels added at random (c) clear, sharp examples (d) wrong labels
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
3. 3.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) correct labels (d) only one kind of example
4. 4.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
6. 6.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) wrong labels (d) correct labels
7. 7.Which of these is good for training a model? (a) very few examples (b) correct labels (c) only one kind of example (d) wrong labels
8. 8.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
9. 9.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
10. 10.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) new data for testing (d) correct labels
11. 11.🏷️ 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
12. 12.Which of these is good for training a model? (a) new data for testing (b) labels added at random (c) very few examples (d) wrong labels
13. 13.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) blurry, unclear photos (d) wrong labels
15. 15.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
16. 16.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
17. 17.🏷️ 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
18. 18.True or false: “correct labels” is bad for training a model. (a) False (b) True
19. 19.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
21. 21.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
22. 22.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
23. 23.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
24. 24.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
25. 25.🐶 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
26. 26.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
27. 27.True or false: “examples of every type” is bad for training a model. (a) False (b) True
28. 28.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
29. 29.True or false: “new data for testing” is good for training a model. (a) False (b) True
30. 30.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
31. 31.🥭 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
32. 32.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
34. 34.🏷️ 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
35. 35.Which of these is bad for training a model? (a) wrong labels (b) checking labels twice (c) new data for testing (d) examples of every type
36. 36.🏷️ 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
37. 37.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
38. 38.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
39. 39.True or false: “new data for testing” is bad for training a model. (a) True (b) False
40. 40.True or false: “many varied examples” is bad for training a model. (a) False (b) True

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