Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 411 · 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) clear, sharp examples (b) wrong labels (c) new data for testing (d) correct labels
2. 2.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) new data for testing (d) testing on training data
3. 3.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) photos in many lights (d) wrong labels
4. 4.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
5. 5.🏷️ 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
6. 6.🏷️ 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
7. 7.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
8. 8.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) testing on training data (d) many varied examples
9. 9.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) testing on training data (d) copies of one photo
11. 11.True or false: “only one kind of example” is good for training a model. (a) True (b) False
12. 12.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) checking labels twice (d) new data for testing
13. 13.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) change colour (d) slower to switch on
14. 14.🏷️ 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
15. 15.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
16. 16.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
18. 18.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) photos in many lights (d) checking labels twice
19. 19.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) testing on training data (d) wrong labels
20. 20.True or false: “photos in many lights” is good for training a model. (a) True (b) False
21. 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
22. 22.Which of these is good for training a model? (a) only one kind of example (b) checking labels twice (c) labels added at random (d) testing on training data
23. 23.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) wrong labels (d) only one kind of example
24. 24.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) testing on training data (d) examples of every type
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
26. 26.🏷️ 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
27. 27.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) checking labels twice (d) wrong labels
30. 30.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
32. 32.True or false: “examples of every type” is bad for training a model. (a) False (b) True
33. 33.🐶 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
34. 34.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) examples of every type (d) only one kind of example
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
37. 37.True or false: “copies of one photo” is good for training a model. (a) False (b) True
38. 38.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
39. 39.True or false: “many varied examples” is bad for training a model. (a) False (b) True
40. 40.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training

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