Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 471 · 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 of these is good for training a model? (a) only one kind of example (b) photos in many lights (c) wrong labels (d) copies of one photo
2. 2.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) new data for testing (d) clear, sharp examples
3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
4. 4.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) many varied examples (d) examples of every type
5. 5.Which of these is bad for training a model? (a) many varied examples (b) very few examples (c) new data for testing (d) correct labels
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
7. 7.🏷️ 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
8. 8.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
9. 9.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) clear, sharp examples (d) labels added at random
10. 10.True or false: “correct labels” is bad for training a model. (a) True (b) False
11. 11.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
12. 12.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) labels added at random (d) photos in many lights
14. 14.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) new data for testing (d) checking labels twice
15. 15.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) labels added at random (d) blurry, unclear photos
16. 16.True or false: “photos in many lights” is good for training a model. (a) False (b) True
17. 17.🏷️ 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
18. 18.True or false: “wrong labels” is bad for training a model. (a) False (b) True
19. 19.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
20. 20.Which of these is good for training a model? (a) many varied examples (b) copies of one photo (c) wrong labels (d) blurry, unclear photos
21. 21.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) examples of every type (d) clear, sharp examples
22. 22.🏷️ 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
23. 23.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) correct labels (d) copies of one photo
24. 24.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
25. 25.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
26. 26.🏷️ 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
27. 27.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
29. 29.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
30. 30.🏷️ 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
31. 31.True or false: “testing on training data” is good for training a model. (a) False (b) True
32. 32.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
34. 34.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
36. 36.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) correct labels (d) copies of one photo
37. 37.True or false: “many varied examples” is good for training a model. (a) True (b) False
38. 38.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
39. 39.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True

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