Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 156 · 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.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
2. 2.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
3. 3.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
4. 4.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
5. 5.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
6. 6.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) copies of one photo (d) examples of every type
7. 7.True or false: “correct labels” is good for training a model. (a) False (b) True
8. 8.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) correct labels (d) very few examples
9. 9.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) new data for testing (d) labels added at random
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
12. 12.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) clear, sharp examples (d) new data for testing
14. 14.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
15. 15.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
16. 16.True or false: “very few examples” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
19. 19.True or false: “testing on training data” is good for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) testing on training data (d) copies of one photo
21. 21.🏷️ 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
22. 22.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) labels added at random (d) checking labels twice
23. 23.📚 Good or bad for training a model: only one kind of example? (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.🏷️ 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
26. 26.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
27. 27.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) labels added at random (d) blurry, unclear photos
29. 29.True or false: “labels added at random” is good for training a model. (a) True (b) False
30. 30.True or false: “examples of every type” is good for training a model. (a) False (b) True
31. 31.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) only one kind of example (d) labels added at random
32. 32.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
33. 33.Which of these is good for training a model? (a) photos in many lights (b) copies of one photo (c) very few examples (d) wrong labels
34. 34.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) very few examples (d) only one kind of example
36. 36.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) correct labels (d) blurry, unclear photos
37. 37.🏷️ 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
38. 38.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
39. 39.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) correct labels (d) blurry, unclear photos
40. 40.🏷️ 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) spam (b) not spam

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