Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 549 · 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.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
2. 2.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
3. 3.🏷️ 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
4. 4.🏷️ 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
5. 5.True or false: “labels added at random” is bad for training a model. (a) True (b) False
6. 6.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
7. 7.True or false: “many varied examples” is good for training a model. (a) False (b) True
8. 8.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) clear, sharp examples (d) wrong labels
9. 9.True or false: “photos in many lights” is good for training a model. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) copies of one photo (d) new data for testing
11. 11.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
12. 12.🏷️ 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
13. 13.🏷️ 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
14. 14.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
16. 16.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
17. 17.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) wrong labels (d) very few examples
18. 18.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) photos in many lights (d) only one kind of example
19. 19.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
20. 20.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
21. 21.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
22. 22.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) testing on training data (d) examples of every type
23. 23.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
24. 24.True or false: “many varied examples” is bad for training a model. (a) True (b) False
25. 25.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) checking labels twice (d) testing on training data
26. 26.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
27. 27.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) copies of one photo (d) clear, sharp examples
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
29. 29.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
30. 30.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) change colour (d) slower to switch on
31. 31.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) correct labels (d) only one kind of example
32. 32.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
33. 33.🏷️ 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
34. 34.True or false: “very few examples” is good for training a model. (a) False (b) True
35. 35.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) new data for testing (d) testing on training data
36. 36.True or false: “only one kind of example” is good for training a model. (a) False (b) True
37. 37.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) many varied examples (d) testing on training data
38. 38.Which of these is good for training a model? (a) wrong labels (b) photos in many lights (c) only one kind of example (d) very few examples
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training

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