Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 455 · 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: “many varied examples” is bad for training a model. (a) False (b) True
2. 2.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
3. 3.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
4. 4.🏷️ 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
5. 5.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
6. 6.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) very few examples (d) clear, sharp examples
8. 8.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
11. 11.True or false: “photos in many lights” is good for training a model. (a) True (b) False
12. 12.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) new data for testing (d) wrong labels
14. 14.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
15. 15.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) copies of one photo (d) examples of every type
16. 16.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
17. 17.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) blurry, unclear photos (d) wrong labels
20. 20.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
21. 21.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) checking labels twice (d) copies of one photo
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
23. 23.True or false: “copies of one photo” is good for training a model. (a) True (b) False
24. 24.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
25. 25.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
26. 26.True or false: “correct labels” is bad for training a model. (a) True (b) False
27. 27.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
28. 28.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
29. 29.🏷️ 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
30. 30.True or false: “many varied examples” is good for training a model. (a) True (b) False
31. 31.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
33. 33.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
34. 34.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
35. 35.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
36. 36.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
37. 37.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) new data for testing (d) only one kind of example
38. 38.🔍 Which is the odd one out? (a) many varied examples (b) new data for testing (c) correct labels (d) only one kind of example
39. 39.True or false: “labels added at random” is good for training a model. (a) True (b) False
40. 40.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True

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