Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 182 · 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) testing on training data (b) copies of one photo (c) many varied examples (d) labels added at random
2. 2.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
3. 3.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
4. 4.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
5. 5.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
6. 6.True or false: “testing on training data” is bad for training a model. (a) False (b) True
7. 7.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) examples of every type (d) copies of one photo
8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) wrong labels (d) labels added at random
10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) correct labels (d) wrong labels
11. 11.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
12. 12.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) blurry, unclear photos (d) clear, sharp examples
13. 13.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
14. 14.True or false: “many varied examples” is bad for training a model. (a) False (b) True
15. 15.True or false: “wrong labels” is good for training a model. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) only one kind of example (d) checking labels twice
17. 17.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
18. 18.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) clear, sharp examples (d) many varied examples
19. 19.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
21. 21.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) photos in many lights (d) testing on training data
22. 22.True or false: “correct labels” is good for training a model. (a) False (b) True
23. 23.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
24. 24.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) correct labels (d) testing on training data
25. 25.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.Which of these is good for training a model? (a) clear, sharp examples (b) only one kind of example (c) wrong labels (d) testing on training data
28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
30. 30.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) checking labels twice (d) testing on training data
31. 31.True or false: “many varied examples” is good for training a model. (a) False (b) True
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
33. 33.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will turn yellow (d) it will shut down
34. 34.True or false: “new data for testing” is bad for training a model. (a) False (b) True
35. 35.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
36. 36.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
37. 37.True or false: “examples of every type” is bad for training a model. (a) False (b) True
38. 38.Which of these is bad for training a model? (a) many varied examples (b) only one kind of example (c) checking labels twice (d) examples of every type
39. 39.🏷️ 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
40. 40.🔍 Which is the odd one out? (a) testing on training data (b) examples of every type (c) only one kind of example (d) labels added at random

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