Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 202 · 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.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
2. 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
3. 3.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) labels added at random (d) correct labels
4. 4.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
5. 5.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
6. 6.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) photos in many lights (d) new data for testing
7. 7.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
8. 8.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) correct labels (d) checking labels twice
10. 10.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) photos in many lights (d) new data for testing
11. 11.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
12. 12.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) many varied examples (d) wrong labels
15. 15.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
16. 16.Which of these is good for training a model? (a) clear, sharp examples (b) testing on training data (c) wrong labels (d) blurry, unclear photos
17. 17.True or false: “only one kind of example” is good for training a model. (a) False (b) True
18. 18.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) new data for testing (d) checking labels twice
20. 20.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
21. 21.🏷️ 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
22. 22.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
23. 23.True or false: “wrong labels” is bad for training a model. (a) True (b) False
24. 24.🏷️ 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
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
26. 26.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
27. 27.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
28. 28.True or false: “photos in many lights” is good for training a model. (a) False (b) True
29. 29.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) testing on training data
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
32. 32.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) examples of every type (d) testing on training data
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
34. 34.True or false: “labels added at random” is bad for training a model. (a) True (b) False
35. 35.🏷️ 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
36. 36.🔍 Which is the odd one out? (a) testing on training data (b) clear, sharp examples (c) very few examples (d) labels added at random
37. 37.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
38. 38.True or false: “wrong labels” is good for training a model. (a) True (b) False
39. 39.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True

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