Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 117 · 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? “Share your OTP to get cashback” (a) not spam (b) spam
2. 2.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) checking labels twice (d) labels added at random
3. 3.True or false: “correct labels” is bad for training a model. (a) True (b) False
4. 4.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) examples of every type (d) blurry, unclear photos
5. 5.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
6. 6.True or false: “testing on training data” is bad for training a model. (a) True (b) False
7. 7.True or false: “examples of every type” is bad for training a model. (a) True (b) False
8. 8.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
9. 9.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
10. 10.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) testing on training data (d) only one kind of example
11. 11.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
12. 12.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) correct labels (d) copies of one photo
13. 13.Which of these is bad for training a model? (a) wrong labels (b) clear, sharp examples (c) many varied examples (d) photos in many lights
14. 14.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “only one kind of example” is good for training a model. (a) True (b) False
16. 16.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) correct labels (d) blurry, unclear photos
19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
20. 20.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) testing on training data (d) many varied examples
21. 21.True or false: “correct labels” is good for training a model. (a) True (b) False
22. 22.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) labels added at random (b) correct labels (c) many varied examples (d) checking labels twice
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a song about dogs (d) a list of rules only
25. 25.True or false: “many varied examples” is bad for training a model. (a) True (b) False
26. 26.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
27. 27.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) blurry, unclear photos (d) copies of one photo
28. 28.🏷️ 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
29. 29.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
30. 30.True or false: “testing on training data” 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? “Send your password to claim a prize” (a) not spam (b) spam
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
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.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
35. 35.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
36. 36.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
37. 37.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
39. 39.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
40. 40.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) very few examples (d) many varied examples

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