Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 545 · 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) very few examples (b) only one kind of example (c) wrong labels (d) many varied examples
2. 2.🔍 Which is the odd one out? (a) examples of every type (b) blurry, unclear photos (c) only one kind of example (d) wrong labels
3. 3.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
4. 4.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
5. 5.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
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) spam (b) not spam
7. 7.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
8. 8.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) blurry, unclear photos (d) checking labels twice
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) copies of one photo (d) blurry, unclear photos
10. 10.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) labels added at random (d) testing on training data
11. 11.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
13. 13.Which of these is bad for training a model? (a) correct labels (b) testing on training data (c) new data for testing (d) photos in many lights
14. 14.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
15. 15.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
18. 18.True or false: “very few examples” is good for training a model. (a) False (b) True
19. 19.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
20. 20.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
21. 21.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) correct labels (d) blurry, unclear photos
22. 22.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
23. 23.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
25. 25.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) very few examples (d) many varied examples
26. 26.🏷️ 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
27. 27.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
28. 28.True or false: “checking labels twice” is good for training a model. (a) False (b) True
29. 29.Which of these is bad for training a model? (a) new data for testing (b) wrong labels (c) many varied examples (d) photos in many lights
30. 30.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
32. 32.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
35. 35.True or false: “labels added at random” is good for training a model. (a) False (b) True
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
37. 37.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
38. 38.True or false: “examples of every type” is bad for training a model. (a) False (b) True
39. 39.🏷️ 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
40. 40.True or false: “many varied examples” is good for training a model. (a) False (b) True

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