Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 196 · 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 bad for training a model? (a) photos in many lights (b) correct labels (c) new data for testing (d) wrong labels
2. 2.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
3. 3.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
4. 4.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
5. 5.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) copies of one photo (d) examples of every type
6. 6.🏷️ 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
7. 7.True or false: “correct labels” is good for training a model. (a) True (b) False
8. 8.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) copies of one photo (d) examples of every type
9. 9.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
10. 10.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
11. 11.🏷️ 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
12. 12.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) new data for testing (d) wrong labels
13. 13.Which of these is good for training a model? (a) correct labels (b) labels added at random (c) testing on training data (d) copies of one photo
14. 14.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
15. 15.🐶 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
16. 16.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
17. 17.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
18. 18.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
19. 19.🏷️ 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
20. 20.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) only one kind of example (d) photos in many lights
21. 21.True or false: “copies of one photo” is good for training a model. (a) True (b) False
22. 22.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) examples of every type (d) very few examples
23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) very few examples (d) new data for testing
24. 24.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) many varied examples (d) wrong labels
25. 25.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
26. 26.True or false: “correct labels” is bad for training a model. (a) False (b) True
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
28. 28.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
29. 29.True or false: “labels added at random” is good for training a model. (a) False (b) True
30. 30.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) labels added at random (d) wrong labels
31. 31.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) testing on training data (d) checking labels twice
33. 33.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
34. 34.True or false: “photos in many lights” is good for training a model. (a) False (b) True
35. 35.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
36. 36.🏷️ 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) not spam (b) spam
37. 37.True or false: “wrong labels” is good for training a model. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) blurry, unclear photos (d) correct labels
39. 39.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
40. 40.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) very few examples (d) wrong labels

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