Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 173 · 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) clear, sharp examples (b) correct labels (c) new data for testing (d) very few examples
2. 2.Which of these is bad for training a model? (a) only one kind of example (b) photos in many lights (c) new data for testing (d) checking labels twice
3. 3.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) checking labels twice (d) wrong labels
6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
7. 7.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) wrong labels (d) correct labels
8. 8.True or false: “labels added at random” is bad for training a model. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) new data for testing (d) very few examples
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
13. 13.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
14. 14.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
15. 15.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
16. 16.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
17. 17.Which of these is bad for training a model? (a) labels added at random (b) checking labels twice (c) many varied examples (d) examples of every type
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) checking labels twice (d) examples of every type
20. 20.🏷️ 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
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) labels added at random (b) many varied examples (c) very few examples (d) blurry, unclear photos
23. 23.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
24. 24.🏷️ 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
25. 25.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) clear, sharp examples (d) only one kind of example
26. 26.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
28. 28.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) examples of every type (d) many varied examples
29. 29.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) testing on training data (d) correct labels
30. 30.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) copies of one photo
31. 31.🏷️ 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
32. 32.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
33. 33.🏷️ 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
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) very few examples (d) copies of one photo
35. 35.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
36. 36.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
38. 38.True or false: “copies of one photo” 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 “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True

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