Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 421 · 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.🏷️ 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
2. 2.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
3. 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) examples of every type (d) labels added at random
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
7. 7.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) correct labels (d) checking labels twice
8. 8.True or false: “testing on training data” is bad for training a model. (a) True (b) False
9. 9.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
10. 10.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
11. 11.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
13. 13.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
14. 14.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “examples of every type” is good for training a model. (a) False (b) True
16. 16.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) correct labels
17. 17.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
18. 18.True or false: “correct labels” is bad for training a model. (a) False (b) True
19. 19.🏷️ 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
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
21. 21.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) blurry, unclear photos (d) copies of one photo
22. 22.Which of these is good for training a model? (a) wrong labels (b) examples of every type (c) testing on training data (d) only one kind of example
23. 23.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) wrong labels (d) copies of one photo
25. 25.True or false: “examples of every type” is bad for training a model. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) correct labels (d) blurry, unclear photos
27. 27.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) only one kind of example (d) testing on training data
28. 28.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
29. 29.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
30. 30.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) labels added at random (d) many varied examples
31. 31.🏷️ 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
32. 32.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
33. 33.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
34. 34.🏷️ 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
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
36. 36.True or false: “only one kind of example” is good for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
39. 39.🏷️ 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
40. 40.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False

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