Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 523 · 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) labels added at random (c) examples of every type (d) very few examples
2. 2.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
3. 3.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) very few examples (d) many varied examples
4. 4.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
7. 7.True or false: “examples of every type” is good for training a model. (a) True (b) False
8. 8.True or false: “labels added at random” is bad for training a model. (a) False (b) True
9. 9.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
10. 10.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) very few examples (d) new data for testing
11. 11.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) testing on training data (d) blurry, unclear photos
12. 12.Which of these is bad for training a model? (a) only one kind of example (b) many varied examples (c) photos in many lights (d) clear, sharp examples
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
14. 14.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) correct labels (d) clear, sharp examples
15. 15.🏷️ 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
16. 16.True or false: “checking labels twice” is good for training a model. (a) True (b) False
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
18. 18.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) new data for testing (d) examples of every type
19. 19.🏷️ 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
20. 20.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) examples of every type (d) very few examples
21. 21.🏷️ 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
22. 22.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) clear, sharp examples (d) wrong labels
23. 23.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) many varied examples (d) correct labels
24. 24.🏷️ 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
25. 25.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
26. 26.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
28. 28.True or false: “copies of one photo” is good for training a model. (a) False (b) True
29. 29.🏷️ 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
30. 30.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
31. 31.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
32. 32.🏷️ 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
33. 33.🏷️ 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) spam (b) not spam
34. 34.Which of these is bad for training a model? (a) wrong labels (b) clear, sharp examples (c) photos in many lights (d) many varied examples
35. 35.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) new data for testing (d) only one kind of example
36. 36.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
37. 37.True or false: “many varied examples” is good for training a model. (a) False (b) True
38. 38.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
39. 39.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
40. 40.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True

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