Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 172 · 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.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
2. 2.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) clear, sharp examples (d) copies of one photo
3. 3.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) examples of every type (d) clear, sharp examples
4. 4.Which of these is good for training a model? (a) only one kind of example (b) many varied examples (c) labels added at random (d) wrong labels
5. 5.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
6. 6.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) only one kind of example (d) correct labels
7. 7.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) very few examples (d) examples of every type
8. 8.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
9. 9.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
10. 10.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) very few examples (d) blurry, unclear photos
11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
12. 12.Which of these is good for training a model? (a) checking labels twice (b) labels added at random (c) only one kind of example (d) copies of one photo
13. 13.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
14. 14.🏷️ 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
15. 15.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) examples of every type (d) copies of one photo
16. 16.🏷️ 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
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) copies of one photo (d) labels added at random
19. 19.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) checking labels twice (d) very few examples
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
22. 22.True or false: “correct labels” is good for training a model. (a) True (b) False
23. 23.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) only one kind of example (d) very few examples
25. 25.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) many varied examples (d) labels added at random
26. 26.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
27. 27.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
28. 28.🏷️ 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
29. 29.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
31. 31.True or false: “testing on training data” is bad for training a model. (a) True (b) False
32. 32.🏷️ 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
33. 33.🔍 Which is the odd one out? (a) labels added at random (b) correct labels (c) wrong labels (d) blurry, unclear photos
34. 34.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) only one kind of example (d) photos in many lights
35. 35.Which of these is good for training a model? (a) photos in many lights (b) labels added at random (c) wrong labels (d) blurry, unclear photos
36. 36.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: “many varied examples” is good for training a model. (a) False (b) True
38. 38.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) testing on training data (d) correct labels
39. 39.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
40. 40.🏷️ 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

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