Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 159 · 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 of these is good for training a model? (a) very few examples (b) labels added at random (c) many varied examples (d) wrong labels
2. 2.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
3. 3.🥭 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 may get it wrong (d) it will turn yellow
4. 4.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
5. 5.🏷️ 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
6. 6.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) testing on training data (d) checking labels twice
7. 7.🏷️ 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
8. 8.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
10. 10.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) correct labels (d) photos in many lights
11. 11.True or false: “examples of every type” is good for training a model. (a) False (b) True
12. 12.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
13. 13.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
15. 15.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
16. 16.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) photos in many lights (d) clear, sharp examples
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
18. 18.True or false: “copies of one photo” is good for training a model. (a) True (b) False
19. 19.Which of these is good for training a model? (a) clear, sharp examples (b) testing on training data (c) only one kind of example (d) copies of one photo
20. 20.True or false: “testing on training data” is good for training a model. (a) True (b) False
21. 21.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
22. 22.True or false: “correct labels” is good for training a model. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) blurry, unclear photos (b) testing on training data (c) very few examples (d) many varied examples
24. 24.🏷️ 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
25. 25.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) only one kind of example (d) testing on training data
26. 26.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
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) not spam (b) spam
28. 28.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
29. 29.Which of these is good for training a model? (a) only one kind of example (b) new data for testing (c) labels added at random (d) testing on training data
30. 30.True or false: “wrong labels” is bad for training a model. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) copies of one photo (d) examples of every type
32. 32.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
34. 34.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) checking labels twice (d) correct labels
35. 35.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
36. 36.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
37. 37.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
38. 38.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) labels added at random (d) checking labels twice
39. 39.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) correct labels (d) blurry, unclear photos
40. 40.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo

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