Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 47 · 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) very few examples (c) clear, sharp examples (d) copies of one photo
2. 2.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) very few examples (d) new data for testing
3. 3.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) only one kind of example (d) examples of every type
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
6. 6.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) examples of every type (d) labels added at random
7. 7.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
8. 8.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
9. 9.🏷️ 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
10. 10.🐶 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) one single photo (d) a song about dogs
11. 11.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
13. 13.True or false: “correct labels” is bad for training a model. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) wrong labels (d) labels added at random
15. 15.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
16. 16.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) very few examples
17. 17.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
18. 18.True or false: “wrong labels” is bad for training a model. (a) True (b) False
19. 19.Which of these is bad for training a model? (a) checking labels twice (b) wrong labels (c) clear, sharp examples (d) examples of every type
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
22. 22.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
23. 23.🏷️ 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
24. 24.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) many varied examples (d) examples of every type
25. 25.🏷️ 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
26. 26.True or false: “many varied examples” is good for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
28. 28.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
29. 29.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
30. 30.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
31. 31.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
32. 32.True or false: “photos in many lights” is good for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
34. 34.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) many varied examples (d) copies of one photo
35. 35.🏷️ 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
36. 36.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) blurry, unclear photos
37. 37.Which of these is bad for training a model? (a) copies of one photo (b) new data for testing (c) clear, sharp examples (d) correct labels
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
39. 39.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) clear, sharp examples (d) correct labels

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