Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 376 · 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: photos in many lights? (a) good for training (b) bad for training
2. 2.True or false: “photos in many lights” is good for training a model. (a) True (b) False
3. 3.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
4. 4.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
5. 5.🐶 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
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
7. 7.🏷️ 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
8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
9. 9.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
10. 10.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) testing on training data (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 of these is bad for training a model? (a) wrong labels (b) examples of every type (c) photos in many lights (d) checking labels twice
13. 13.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) photos in many lights (d) wrong labels
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
15. 15.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) very few examples (d) labels added at random
16. 16.True or false: “correct labels” is good for training a model. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) many varied examples (d) blurry, unclear photos
18. 18.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
20. 20.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) photos in many lights (d) wrong labels
21. 21.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
23. 23.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
24. 24.🏷️ 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
25. 25.Which of these is good for training a model? (a) copies of one photo (b) examples of every type (c) only one kind of example (d) wrong labels
26. 26.True or false: “many varied examples” is bad for training a model. (a) True (b) False
27. 27.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
28. 28.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
29. 29.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) wrong labels (d) photos in many lights
31. 31.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) checking labels twice (d) testing on training data
32. 32.Which of these is good for training a model? (a) very few examples (b) correct labels (c) wrong labels (d) testing on training data
33. 33.🏷️ 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
34. 34.🏷️ 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
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) new data for testing (c) correct labels (d) many varied examples
36. 36.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
37. 37.🏷️ 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
38. 38.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
39. 39.True or false: “new data for testing” is bad for training a model. (a) True (b) False
40. 40.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False

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