Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 386 · 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) correct labels (b) checking labels twice (c) wrong labels (d) clear, sharp examples
2. 2.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
4. 4.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
6. 6.🏷️ 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
7. 7.Which of these is bad for training a model? (a) copies of one photo (b) clear, sharp examples (c) many varied examples (d) photos in many lights
8. 8.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
9. 9.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
10. 10.🔍 Which is the odd one out? (a) blurry, unclear photos (b) examples of every type (c) checking labels twice (d) many varied examples
11. 11.🏷️ 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
12. 12.True or false: “many varied examples” is bad for training a model. (a) False (b) True
13. 13.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: “examples of every type” is bad for training a model. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) many varied examples (d) copies of one photo
16. 16.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) photos in many lights (d) very few examples
17. 17.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
18. 18.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
20. 20.True or false: “labels added at random” is bad for training a model. (a) True (b) False
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.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
23. 23.Which of these is good for training a model? (a) only one kind of example (b) correct labels (c) very few examples (d) labels added at random
24. 24.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
25. 25.🏷️ 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
26. 26.🔍 Which is the odd one out? (a) only one kind of example (b) clear, sharp examples (c) copies of one photo (d) wrong labels
27. 27.True or false: “new data for testing” is bad for training a model. (a) True (b) False
28. 28.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
29. 29.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) labels added at random (d) wrong labels
30. 30.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
34. 34.True or false: “correct labels” is bad for training a model. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) many varied examples (b) examples of every type (c) only one kind of example (d) new data for testing
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) labels added at random (d) examples of every type
38. 38.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
39. 39.True or false: “correct labels” is good for training a model. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) correct labels (d) copies of one photo

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