Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 194 · 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) very few examples (b) clear, sharp examples (c) wrong labels (d) blurry, unclear photos
2. 2.🏷️ 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
3. 3.🏷️ 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
4. 4.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) blurry, unclear photos (d) clear, sharp examples
5. 5.🏷️ 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
6. 6.🥭 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
7. 7.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
8. 8.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
9. 9.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) correct labels (d) copies of one photo
11. 11.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
12. 12.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
13. 13.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
14. 14.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
15. 15.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
16. 16.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
17. 17.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) wrong labels (d) many varied examples
18. 18.🏷️ 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
19. 19.Which of these is bad for training a model? (a) testing on training data (b) new data for testing (c) many varied examples (d) clear, sharp examples
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
21. 21.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) copies of one photo (d) examples of every type
22. 22.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
23. 23.True or false: “very few examples” is good for training a model. (a) False (b) True
24. 24.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
25. 25.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) blurry, unclear photos (d) many varied examples
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
27. 27.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) clear, sharp examples (d) new data for testing
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) new data for testing (d) very few examples
29. 29.🏷️ 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
30. 30.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
31. 31.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
33. 33.True or false: “photos in many lights” is good for training a model. (a) False (b) True
34. 34.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
35. 35.True or false: “testing on training data” is good for training a model. (a) True (b) False
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: labels added at random? (a) good for training (b) bad for training
38. 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
39. 39.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
40. 40.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training

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