Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 585 · 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.🏷️ 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
2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
3. 3.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
4. 4.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
5. 5.🏷️ 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
6. 6.True or false: “only one kind of example” is good for training a model. (a) True (b) False
7. 7.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
8. 8.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
9. 9.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) checking labels twice (d) wrong labels
10. 10.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
11. 11.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) checking labels twice (d) labels added at random
12. 12.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) new data for testing (d) labels added at random
13. 13.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
14. 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
15. 15.True or false: “many varied examples” is bad for training a model. (a) False (b) True
16. 16.Which of these is good for training a model? (a) only one kind of example (b) many varied examples (c) labels added at random (d) wrong labels
17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) clear, sharp examples (d) checking labels twice
18. 18.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) very few examples (d) copies of one photo
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
21. 21.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
22. 22.True or false: “wrong labels” is good for training a model. (a) True (b) False
23. 23.True or false: “correct labels” is bad for training a model. (a) False (b) True
24. 24.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
25. 25.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
27. 27.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
28. 28.Which of these is good for training a model? (a) testing on training data (b) examples of every type (c) labels added at random (d) only one kind of example
29. 29.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
31. 31.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
33. 33.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) blurry, unclear photos (b) many varied examples (c) copies of one photo (d) very few examples
36. 36.True or false: “new data for testing” is bad for training a model. (a) False (b) True
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
38. 38.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam

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