Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 543 · 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 is the odd one out? (a) clear, sharp examples (b) wrong labels (c) only one kind of example (d) blurry, unclear photos
2. 2.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) many varied examples (d) testing on training data
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
4. 4.True or false: “correct labels” is good for training a model. (a) True (b) False
5. 5.Which of these is bad for training a model? (a) photos in many lights (b) copies of one photo (c) correct labels (d) checking labels twice
6. 6.🏷️ 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
7. 7.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) testing on training data (d) new data for testing
8. 8.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) very few examples (d) new data for testing
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
10. 10.🏷️ 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
11. 11.🏷️ 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
12. 12.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
13. 13.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
14. 14.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) very few examples (d) examples of every type
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
17. 17.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) new data for testing (d) wrong labels
18. 18.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
19. 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
20. 20.🏷️ 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
21. 21.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
22. 22.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
23. 23.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) checking labels twice (d) blurry, unclear photos
26. 26.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) copies of one photo (d) correct labels
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
29. 29.🏷️ 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
30. 30.True or false: “correct labels” is bad for training a model. (a) True (b) False
31. 31.Which of these is good for training a model? (a) very few examples (b) correct labels (c) wrong labels (d) copies of one photo
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
33. 33.True or false: “examples of every type” is good for training a model. (a) False (b) True
34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
35. 35.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
36. 36.Which of these is good for training a model? (a) very few examples (b) examples of every type (c) only one kind of example (d) copies of one photo
37. 37.True or false: “wrong labels” is good for training a model. (a) False (b) True
38. 38.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
39. 39.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
40. 40.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) blurry, unclear photos (d) labels added at random

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