Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 286 · 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: “clear, sharp examples” is bad for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) only one kind of example (d) new data for testing
3. 3.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) copies of one photo (d) correct labels
4. 4.🏷️ 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
5. 5.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) clear, sharp examples (d) photos in many lights
7. 7.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
8. 8.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
9. 9.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) change colour (d) slower to switch on
10. 10.Which of these is good for training a model? (a) checking labels twice (b) only one kind of example (c) wrong labels (d) copies of one photo
11. 11.🥭 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 may get it wrong (d) it will turn yellow
12. 12.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) examples of every type (d) testing on training data
13. 13.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
14. 14.🐶 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) a song about dogs (d) many labelled photos
15. 15.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) photos in many lights (d) labels added at random
16. 16.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
17. 17.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
19. 19.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
20. 20.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
21. 21.True or false: “correct labels” is good for training a model. (a) False (b) True
22. 22.Which of these is good for training a model? (a) testing on training data (b) new data for testing (c) copies of one photo (d) blurry, unclear photos
23. 23.🏷️ 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
24. 24.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) clear, sharp examples (d) wrong labels
25. 25.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
26. 26.🏷️ 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
27. 27.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) copies of one photo (d) wrong labels
28. 28.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
29. 29.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
30. 30.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
31. 31.🏷️ 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
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
33. 33.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
34. 34.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) copies of one photo (d) blurry, unclear photos
35. 35.True or false: “correct labels” is bad for training a model. (a) False (b) True
36. 36.🏷️ 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
37. 37.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
39. 39.🏷️ 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
40. 40.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) copies of one photo (d) testing on training data

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