Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 74 · 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.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
2. 2.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
3. 3.🏷️ 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
4. 4.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) clear, sharp examples (d) very few examples
6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
7. 7.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
8. 8.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
9. 9.True or false: “very few examples” is good for training a model. (a) False (b) True
10. 10.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
11. 11.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
12. 12.True or false: “wrong labels” is good for training a model. (a) True (b) False
13. 13.🏷️ 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
14. 14.🏷️ 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
15. 15.🏷️ 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
16. 16.🏷️ 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
17. 17.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) correct labels (b) wrong labels (c) labels added at random (d) copies of one photo
19. 19.🔍 Which is the odd one out? (a) only one kind of example (b) labels added at random (c) photos in many lights (d) blurry, unclear photos
20. 20.Which of these is good for training a model? (a) examples of every type (b) copies of one photo (c) very few examples (d) wrong labels
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) not spam (b) spam
22. 22.True or false: “labels added at random” is good for training a model. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) blurry, unclear photos (d) testing on training data
24. 24.True or false: “new data for testing” is bad for training a model. (a) False (b) True
25. 25.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
26. 26.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) very few examples (d) photos in many lights
27. 27.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
28. 28.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
29. 29.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) many varied examples (d) correct labels
30. 30.True or false: “correct labels” is bad 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? “Happy birthday! See you at lunch” (a) not spam (b) spam
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
33. 33.True or false: “many varied examples” is good for training a model. (a) True (b) False
34. 34.🏷️ 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
35. 35.True or false: “only one kind of example” is good for training a model. (a) True (b) False
36. 36.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) many varied examples (d) copies of one photo
37. 37.🐶 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
38. 38.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) blurry, unclear photos (d) new data for testing
39. 39.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) correct labels (d) new data for testing

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