Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 380 · 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 of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) testing on training data (d) labels added at random
2. 2.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) blurry, unclear photos (d) photos in many lights
3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
4. 4.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) only one kind of example (d) many varied examples
5. 5.True or false: “wrong labels” is good for training a model. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) many varied examples (d) blurry, unclear photos
7. 7.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
8. 8.Which of these is good for training a model? (a) examples of every type (b) very few examples (c) testing on training data (d) labels added at random
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
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.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
12. 12.🏷️ 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
13. 13.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) very few examples (d) wrong labels
14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
15. 15.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
16. 16.True or false: “wrong labels” is bad for training a model. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) correct labels (d) wrong labels
18. 18.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) copies of one photo (d) checking labels twice
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
21. 21.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) very few examples (d) many varied examples
23. 23.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
24. 24.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
25. 25.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
26. 26.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
27. 27.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) blurry, unclear photos (d) only one kind of example
28. 28.🐶 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
29. 29.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) copies of one photo (d) many varied examples
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
32. 32.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
33. 33.True or false: “many varied examples” is bad for training a model. (a) False (b) True
34. 34.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) very few examples (d) correct labels
35. 35.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) testing on training data (d) many varied examples
36. 36.🏷️ 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
37. 37.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) blurry, unclear photos (d) examples of every type
38. 38.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) only one kind of example (d) many varied examples

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