Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 389 · 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 “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
2. 2.True or false: “correct labels” is bad for training a model. (a) False (b) True
3. 3.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
4. 4.🏷️ 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
5. 5.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) forget everything (d) change colour
6. 6.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) many varied examples (d) very few examples
7. 7.🏷️ 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
8. 8.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) wrong labels (d) checking labels twice
9. 9.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
13. 13.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
14. 14.🏷️ 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
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) labels added at random (d) wrong labels
17. 17.Which of these is bad for training a model? (a) very few examples (b) examples of every type (c) correct labels (d) new data for testing
18. 18.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) clear, sharp examples (d) correct labels
19. 19.🏷️ 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
20. 20.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) blurry, unclear photos (d) new data for testing
21. 21.True or false: “new data for testing” is good for training a model. (a) False (b) True
22. 22.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
23. 23.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) very few examples (d) testing on training data
24. 24.🏷️ 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
25. 25.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) correct labels (d) blurry, unclear photos
26. 26.🏷️ 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
27. 27.Which of these is good for training a model? (a) only one kind of example (b) photos in many lights (c) copies of one photo (d) wrong labels
28. 28.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
30. 30.True or false: “examples of every type” is bad for training a model. (a) False (b) True
31. 31.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
32. 32.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) new data for testing (d) very few examples
33. 33.True or false: “examples of every type” is good for training a model. (a) True (b) False
34. 34.True or false: “wrong labels” is bad for training a model. (a) False (b) True
35. 35.True or false: “copies of one photo” is good for training a model. (a) True (b) False
36. 36.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
37. 37.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
38. 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
39. 39.🏷️ 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
40. 40.True or false: “testing on training data” is bad for training a model. (a) False (b) True

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