Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 594 · 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: “photos in many lights” is good for training a model. (a) True (b) False
2. 2.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
3. 3.Which of these is bad for training a model? (a) copies of one photo (b) clear, sharp examples (c) many varied examples (d) correct labels
4. 4.🏷️ 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
5. 5.True or false: “only one kind of example” is good for training a model. (a) False (b) True
6. 6.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) new data for testing (d) examples of every type
7. 7.🏷️ 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
8. 8.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
9. 9.True or false: “very few examples” is good for training a model. (a) False (b) True
10. 10.True or false: “many varied examples” is bad for training a model. (a) True (b) False
11. 11.True or false: “new data for testing” is good for training a model. (a) True (b) False
12. 12.True or false: “checking labels twice” is good for training a model. (a) False (b) True
13. 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
14. 14.True or false: “examples of every type” is bad for training a model. (a) True (b) False
15. 15.True or false: “correct labels” is bad for training a model. (a) False (b) True
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) not spam (b) spam
17. 17.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) copies of one photo (d) checking labels twice
18. 18.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
20. 20.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) wrong labels (d) very few examples
21. 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
22. 22.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) very few examples (d) new data for testing
23. 23.True or false: “new data for testing” is bad for training a model. (a) True (b) False
24. 24.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) testing on training data (d) very few examples
26. 26.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
27. 27.True or false: “many varied examples” is good for training a model. (a) False (b) True
28. 28.🏷️ 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
29. 29.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
30. 30.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) correct labels (d) wrong labels
31. 31.🏷️ 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
32. 32.🔍 Which is the odd one out? (a) blurry, unclear photos (b) examples of every type (c) labels added at random (d) very few examples
33. 33.True or false: “labels added at random” is good for training a model. (a) True (b) False
34. 34.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
35. 35.🏷️ 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
36. 36.🏷️ 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
37. 37.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) blurry, unclear photos (d) new data for testing
38. 38.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
39. 39.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
40. 40.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) blurry, unclear photos (d) wrong labels

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