Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 565 · 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.True or false: “labels added at random” is bad for training a model. (a) True (b) False
2. 2.🏷️ 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
3. 3.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) blurry, unclear photos (d) very few examples
4. 4.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
5. 5.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) blurry, unclear photos (d) correct labels
6. 6.True or false: “testing on training data” is good for training a model. (a) False (b) True
7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
8. 8.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) wrong labels (d) photos in many lights
9. 9.🏷️ 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
10. 10.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
11. 11.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) correct labels (d) labels added at random
12. 12.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
15. 15.Which of these is bad for training a model? (a) only one kind of example (b) checking labels twice (c) many varied examples (d) correct labels
16. 16.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) many varied examples (d) blurry, unclear photos
17. 17.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) blurry, unclear photos (d) copies of one photo
18. 18.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) new data for testing (d) photos in many lights
20. 20.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) wrong labels (d) correct labels
21. 21.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) new data for testing (d) blurry, unclear photos
22. 22.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
23. 23.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) photos in many lights (d) many varied examples
24. 24.🏷️ 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
25. 25.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
26. 26.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
28. 28.🏷️ 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
29. 29.True or false: “labels added at random” is good for training a model. (a) True (b) False
30. 30.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) testing on training data (d) photos in many lights
31. 31.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) very few examples (d) many varied examples
32. 32.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
33. 33.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
35. 35.🏷️ 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
36. 36.True or false: “copies of one photo” is good for training a model. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) examples of every type (d) checking labels twice
38. 38.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
39. 39.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) photos in many lights (d) many varied examples
40. 40.True or false: “wrong labels” is good for training a model. (a) True (b) False

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