Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 308 · 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) testing on training data (b) labels added at random (c) checking labels twice (d) only one kind of example
2. 2.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) checking labels twice (d) blurry, unclear photos
3. 3.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
4. 4.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
5. 5.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
7. 7.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) blurry, unclear photos (d) examples of every type
8. 8.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) testing on training data (d) photos in many lights
9. 9.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) labels added at random (d) clear, sharp examples
10. 10.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) copies of one photo (d) testing on training data
11. 11.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) examples of every type (d) blurry, unclear photos
12. 12.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
13. 13.🏷️ 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
14. 14.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
15. 15.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
17. 17.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) labels added at random (d) copies of one photo
18. 18.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
19. 19.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
20. 20.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
21. 21.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
22. 22.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) blurry, unclear photos (d) many varied examples
24. 24.True or false: “very few examples” is bad for training a model. (a) False (b) True
25. 25.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
26. 26.True or false: “very few examples” is good for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
28. 28.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
29. 29.True or false: “correct labels” is good for training a model. (a) True (b) False
30. 30.🏷️ 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
31. 31.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) photos in many lights (d) very few examples
32. 32.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) photos in many lights (d) wrong labels
33. 33.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
34. 34.🏷️ 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
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
36. 36.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
37. 37.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) many varied examples (d) photos in many lights
38. 38.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
39. 39.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) examples of every type (d) many varied examples
40. 40.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training

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