Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 402 · 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) checking labels twice (b) wrong labels (c) blurry, unclear photos (d) only one kind of example
2. 2.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
3. 3.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
4. 4.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
5. 5.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) correct labels (d) testing on training data
6. 6.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) many varied examples (d) photos in many lights
7. 7.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
8. 8.🏷️ 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
9. 9.True or false: “examples of every type” is good for training a model. (a) False (b) True
10. 10.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
11. 11.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) testing on training data (d) photos in many lights
12. 12.True or false: “many varied examples” is bad for training a model. (a) True (b) False
13. 13.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) examples of every type (d) only one kind of example
14. 14.🏷️ 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
15. 15.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) labels added at random (d) many varied examples
16. 16.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) checking labels twice (d) copies of one photo
17. 17.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
18. 18.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) wrong labels (d) new data for testing
19. 19.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
20. 20.🥭 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 turn yellow (d) it will be perfect
21. 21.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
23. 23.🐶 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) many labelled photos (d) a song about dogs
24. 24.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) copies of one photo (d) photos in many lights
25. 25.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
26. 26.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
27. 27.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
28. 28.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
29. 29.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
30. 30.🏷️ 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
31. 31.True or false: “only one kind of example” is good for training a model. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) many varied examples (d) checking labels twice
33. 33.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) only one kind of example (d) very few examples
34. 34.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
35. 35.Which of these is bad for training a model? (a) labels added at random (b) new data for testing (c) many varied examples (d) correct labels
36. 36.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
38. 38.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
39. 39.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
40. 40.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) testing on training data (d) copies of one photo

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