Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 438 · 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? “Share your OTP to get cashback” (a) spam (b) not spam
2. 2.🏷️ 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
3. 3.True or false: “many varied examples” is bad for training a model. (a) True (b) False
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) photos in many lights (d) blurry, unclear photos
6. 6.🏷️ 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
7. 7.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
8. 8.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
9. 9.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
10. 10.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) many varied examples (d) only one kind of example
11. 11.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) wrong labels
12. 12.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
13. 13.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
14. 14.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
15. 15.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
16. 16.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) new data for testing (d) wrong labels
18. 18.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) photos in many lights (d) only one kind of example
19. 19.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) very few examples (d) clear, sharp examples
20. 20.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
21. 21.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) only one kind of example (b) new data for testing (c) correct labels (d) clear, sharp examples
23. 23.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
24. 24.True or false: “testing on training data” is good for training a model. (a) True (b) False
25. 25.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) new data for testing (d) only one kind of example
27. 27.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
28. 28.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
29. 29.Which of these is good for training a model? (a) testing on training data (b) clear, sharp examples (c) copies of one photo (d) very few examples
30. 30.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
31. 31.True or false: “photos in many lights” is good for training a model. (a) False (b) True
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
33. 33.🏷️ 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
34. 34.Which of these is good for training a model? (a) copies of one photo (b) examples of every type (c) labels added at random (d) testing on training data
35. 35.Which of these is bad for training a model? (a) checking labels twice (b) copies of one photo (c) photos in many lights (d) many varied examples
36. 36.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) blurry, unclear photos (d) testing on training data
37. 37.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
38. 38.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) very few examples (d) new data for testing
39. 39.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
40. 40.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) very few examples (d) wrong labels

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