Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 212 · 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) examples of every type (b) checking labels twice (c) clear, sharp examples (d) testing on training data
2. 2.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
3. 3.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
4. 4.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
5. 5.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
6. 6.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
7. 7.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
8. 8.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
9. 9.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) copies of one photo (d) many varied examples
10. 10.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) wrong labels (d) very few examples
11. 11.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
12. 12.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) only one kind of example (d) many varied examples
13. 13.🏷️ 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
14. 14.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) labels added at random (d) copies of one photo
16. 16.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
17. 17.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
18. 18.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) copies of one photo (d) only one kind of example
19. 19.True or false: “copies of one photo” is good for training a model. (a) False (b) True
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
21. 21.True or false: “testing on training data” is good for training a model. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) very few examples (d) many varied examples
23. 23.🏷️ 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
24. 24.True or false: “very few examples” is bad for training a model. (a) True (b) False
25. 25.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.🏷️ 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
28. 28.True or false: “testing on training data” is bad for training a model. (a) False (b) True
29. 29.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) correct labels (d) testing on training data
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) many labelled photos (d) one single photo
31. 31.True or false: “photos in many lights” is good for training a model. (a) False (b) True
32. 32.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
33. 33.🏷️ 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
34. 34.True or false: “labels added at random” is bad for training a model. (a) True (b) False
35. 35.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) wrong labels (d) blurry, unclear photos
36. 36.Which of these is bad for training a model? (a) labels added at random (b) checking labels twice (c) many varied examples (d) correct labels
37. 37.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) correct labels (d) blurry, unclear photos
38. 38.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
39. 39.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
40. 40.True or false: “photos in many lights” is bad for training a model. (a) True (b) False

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