Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 589 · 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.🏷️ 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
2. 2.🏷️ 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
3. 3.🏷️ 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
4. 4.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) checking labels twice (d) wrong labels
5. 5.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
6. 6.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) blurry, unclear photos (d) testing on training data
7. 7.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
8. 8.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
9. 9.Which of these is good for training a model? (a) new data for testing (b) labels added at random (c) wrong labels (d) copies of one photo
10. 10.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
11. 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
13. 13.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) many varied examples (d) checking labels twice
14. 14.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
15. 15.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) very few examples (d) checking labels twice
16. 16.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) new data for testing (d) very few examples
17. 17.🐶 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
18. 18.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) testing on training data (d) examples of every type
19. 19.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
20. 20.True or false: “testing on training data” is good for training a model. (a) True (b) False
21. 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
23. 23.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) testing on training data (d) blurry, unclear photos
25. 25.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
26. 26.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) copies of one photo (d) many varied examples
27. 27.True or false: “checking labels twice” is good for training a model. (a) True (b) False
28. 28.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
29. 29.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) only one kind of example (d) examples of every type
30. 30.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
31. 31.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
32. 32.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
34. 34.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) only one kind of example (d) labels added at random
35. 35.🏷️ 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
36. 36.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) copies of one photo (d) photos in many lights
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
38. 38.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) labels added at random (d) blurry, unclear photos
39. 39.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
40. 40.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True

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