Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 353 · 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.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
2. 2.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) clear, sharp examples (d) copies of one photo
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
6. 6.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) labels added at random (d) wrong labels
7. 7.Which of these is bad for training a model? (a) correct labels (b) blurry, unclear photos (c) new data for testing (d) many varied examples
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
10. 10.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) checking labels twice (d) wrong labels
11. 11.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) examples of every type (b) blurry, unclear photos (c) copies of one photo (d) only one kind of example
13. 13.True or false: “examples of every type” is good for training a model. (a) True (b) False
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: clear, sharp examples? (a) good for training (b) bad for training
16. 16.🔍 Which is the odd one out? (a) only one kind of example (b) checking labels twice (c) new data for testing (d) many varied examples
17. 17.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) clear, sharp examples (d) examples of every type
18. 18.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
19. 19.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
20. 20.True or false: “examples of every type” is bad for training a model. (a) False (b) True
21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
22. 22.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
23. 23.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
24. 24.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) testing on training data (d) very few examples
25. 25.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
26. 26.True or false: “very few examples” is good for training a model. (a) False (b) True
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
29. 29.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
30. 30.Which of these is good for training a model? (a) blurry, unclear photos (b) clear, sharp examples (c) wrong labels (d) only one kind of example
31. 31.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
33. 33.True or false: “very few examples” is bad for training a model. (a) True (b) False
34. 34.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
35. 35.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
36. 36.True or false: “wrong labels” is bad for training a model. (a) False (b) True
37. 37.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
38. 38.Which of these is bad for training a model? (a) clear, sharp examples (b) labels added at random (c) photos in many lights (d) checking labels twice
39. 39.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False

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