Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 428 · 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: “copies of one photo” is bad for training a model. (a) False (b) True
2. 2.🐶 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
3. 3.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
4. 4.Which of these is good for training a model? (a) testing on training data (b) correct labels (c) very few examples (d) copies of one photo
5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
8. 8.🏷️ 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) not spam (b) spam
9. 9.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
10. 10.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
12. 12.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) forget everything (d) change colour
13. 13.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) examples of every type (d) wrong labels
15. 15.🏷️ 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
16. 16.Which of these is bad for training a model? (a) examples of every type (b) very few examples (c) correct labels (d) new data for testing
17. 17.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) checking labels twice (d) copies of one photo
18. 18.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) new data for testing (d) testing on training data
19. 19.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) copies of one photo (d) very few examples
20. 20.🏷️ 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
21. 21.🏷️ 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
22. 22.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
23. 23.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) wrong labels (d) examples of every type
24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
25. 25.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) labels added at random (d) many varied examples
26. 26.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
28. 28.🏷️ 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
29. 29.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
30. 30.🏷️ 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
31. 31.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
32. 32.True or false: “examples of every type” is good for training a model. (a) True (b) False
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
34. 34.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
35. 35.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
36. 36.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) very few examples (d) new data for testing
38. 38.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
40. 40.True or false: “labels added at random” is bad for training a model. (a) False (b) True

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