Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 384 · 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 bad for training a model? (a) labels added at random (b) correct labels (c) photos in many lights (d) new data for testing
2. 2.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
3. 3.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
4. 4.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
5. 5.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
6. 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
7. 7.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
8. 8.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
10. 10.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) very few examples (d) clear, sharp examples
11. 11.True or false: “examples of every type” is bad for training a model. (a) True (b) False
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
13. 13.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) very few examples (d) wrong labels
14. 14.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) clear, sharp examples (d) testing on training data
15. 15.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) new data for testing (d) many varied examples
16. 16.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
17. 17.🏷️ 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
18. 18.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) photos in many lights (d) only one kind of example
20. 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
21. 21.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) copies of one photo (d) examples of every type
23. 23.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
24. 24.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
25. 25.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) new data for testing (d) clear, sharp examples
26. 26.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
27. 27.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) photos in many lights (d) blurry, unclear photos
29. 29.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
30. 30.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
31. 31.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
32. 32.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
33. 33.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
34. 34.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) very few examples (d) many varied examples
36. 36.🏷️ 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
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
38. 38.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
40. 40.True or false: “photos in many lights” is good for training a model. (a) False (b) True

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