Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 163 · 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) spam (b) not spam
2. 2.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
4. 4.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) forget everything (d) slower to switch on
5. 5.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
6. 6.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) many varied examples (d) checking labels twice
7. 7.Which of these is good for training a model? (a) testing on training data (b) examples of every type (c) copies of one photo (d) very few examples
8. 8.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
9. 9.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) testing on training data (d) many varied examples
10. 10.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
13. 13.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
14. 14.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
15. 15.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) blurry, unclear photos (d) clear, sharp examples
18. 18.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
21. 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
22. 22.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
23. 23.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
24. 24.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) wrong labels (d) new data for testing
25. 25.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) checking labels twice (d) labels added at random
26. 26.True or false: “examples of every type” is bad for training a model. (a) True (b) False
27. 27.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
29. 29.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
30. 30.True or false: “new data for testing” is good for training a model. (a) False (b) True
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
32. 32.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) clear, sharp examples (d) copies of one photo
33. 33.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) photos in many lights (d) blurry, unclear photos
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
35. 35.🏷️ 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
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
37. 37.True or false: “wrong labels” is bad for training a model. (a) False (b) True
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
39. 39.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) wrong labels (d) clear, sharp examples
40. 40.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) testing on training data (d) checking labels twice

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