Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 493 · 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? “Your library book is due on Monday” (a) not spam (b) spam
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) correct labels (d) new data for testing
3. 3.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) photos in many lights (d) examples of every type
4. 4.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) checking labels twice (d) only one kind of example
5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
6. 6.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) labels added at random (d) testing on training data
7. 7.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) new data for testing (d) testing on training data
8. 8.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
11. 11.🏷️ 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
12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
13. 13.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
14. 14.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
15. 15.True or false: “many varied examples” is good for training a model. (a) True (b) False
16. 16.Which of these is good for training a model? (a) only one kind of example (b) many varied examples (c) blurry, unclear photos (d) labels added at random
17. 17.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
18. 18.🏷️ 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) not spam (b) spam
19. 19.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
20. 20.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) new data for testing (d) labels added at random
21. 21.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) testing on training data (d) only one kind of example
23. 23.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
24. 24.True or false: “copies of one photo” is good for training a model. (a) True (b) False
25. 25.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
27. 27.True or false: “very few examples” is bad for training a model. (a) False (b) True
28. 28.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) only one kind of example (d) photos in many lights
29. 29.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
30. 30.True or false: “labels added at random” is good for training a model. (a) True (b) False
31. 31.🏷️ 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
32. 32.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
33. 33.🏷️ 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
34. 34.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) very few examples (d) photos in many lights
35. 35.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) checking labels twice
36. 36.🔍 Which is the odd one out? (a) correct labels (b) testing on training data (c) labels added at random (d) blurry, unclear photos
37. 37.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
38. 38.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) many varied examples (d) examples of every type
39. 39.True or false: “correct labels” is bad for training a model. (a) True (b) False
40. 40.🏷️ 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

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