Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 170 · 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.🏷️ 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
2. 2.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
5. 5.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
6. 6.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) very few examples (d) photos in many lights
7. 7.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) only one kind of example (d) wrong labels
8. 8.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) checking labels twice (d) copies of one photo
9. 9.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
10. 10.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) correct labels (d) many varied examples
11. 11.Which of these is bad for training a model? (a) very few examples (b) examples of every type (c) photos in many lights (d) checking labels twice
12. 12.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
13. 13.True or false: “correct labels” is bad for training a model. (a) True (b) False
14. 14.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
15. 15.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) wrong labels (d) labels added at random
16. 16.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
17. 17.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
18. 18.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) labels added at random (d) correct labels
19. 19.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) correct labels (d) new data for testing
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
21. 21.🏷️ 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
22. 22.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) many varied examples (d) copies of one photo
23. 23.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
24. 24.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) photos in many lights (d) examples of every type
25. 25.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
26. 26.Which of these is good for training a model? (a) many varied examples (b) labels added at random (c) blurry, unclear photos (d) wrong labels
27. 27.True or false: “many varied examples” is good for training a model. (a) False (b) True
28. 28.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) correct labels (d) very few examples
29. 29.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
30. 30.True or false: “photos in many lights” is good for training a model. (a) True (b) False
31. 31.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
32. 32.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
33. 33.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
35. 35.True or false: “correct labels” is good for training a model. (a) False (b) True
36. 36.📚 Good or bad for training a model: checking labels twice? (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? “You won a free phone! Click now!” (a) spam (b) not spam
38. 38.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
39. 39.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
40. 40.True or false: “very few examples” is good for training a model. (a) True (b) False

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