Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 275 · 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: “wrong labels” is bad for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) only one kind of example (d) correct labels
3. 3.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
5. 5.True or false: “many varied examples” is good for training a model. (a) False (b) True
6. 6.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
7. 7.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) copies of one photo (d) examples of every type
8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
9. 9.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) labels added at random (d) many varied examples
10. 10.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: wrong labels? (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.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) testing on training data (d) many varied examples
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
17. 17.🏷️ 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
18. 18.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
19. 19.True or false: “examples of every type” is bad for training a model. (a) True (b) False
20. 20.🏷️ 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
21. 21.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
22. 22.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
23. 23.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) examples of every type (d) wrong labels
25. 25.Which of these is good for training a model? (a) correct labels (b) very few examples (c) blurry, unclear photos (d) only one kind of example
26. 26.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
27. 27.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
29. 29.True or false: “examples of every type” is good for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) only one kind of example (d) new data for testing
31. 31.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
32. 32.True or false: “very few examples” is bad for training a model. (a) True (b) False
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
34. 34.🏷️ 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
35. 35.True or false: “new data for testing” is good for training a model. (a) True (b) False
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
37. 37.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
38. 38.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) labels added at random (d) testing on training data
39. 39.True or false: “testing on training data” is good for training a model. (a) False (b) True
40. 40.Which of these is good for training a model? (a) testing on training data (b) clear, sharp examples (c) very few examples (d) only one kind of example

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