Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 23 · 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) very few examples (b) wrong labels (c) copies of one photo (d) clear, sharp examples
2. 2.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) testing on training data (d) photos in many lights
3. 3.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
4. 4.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
5. 5.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) wrong labels (d) new data for testing
6. 6.🏷️ 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
7. 7.True or false: “very few examples” is bad for training a model. (a) False (b) True
8. 8.Which of these is bad for training a model? (a) clear, sharp examples (b) labels added at random (c) many varied examples (d) checking labels twice
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) very few examples (d) correct labels
10. 10.True or false: “correct labels” is good for training a model. (a) True (b) False
11. 11.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
12. 12.True or false: “many varied examples” is good for training a model. (a) False (b) True
13. 13.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) copies of one photo (d) examples of every type
14. 14.True or false: “correct labels” is bad for training a model. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) very few examples (d) blurry, unclear photos
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
17. 17.🏷️ 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
18. 18.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
19. 19.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
20. 20.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
21. 21.🏷️ 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
22. 22.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) copies of one photo (d) blurry, unclear photos
23. 23.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
26. 26.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) testing on training data (d) correct labels
27. 27.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) blurry, unclear photos (d) wrong labels
28. 28.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) blurry, unclear photos (d) very few examples
29. 29.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
30. 30.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) blurry, unclear photos (d) only one kind of example
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) clear, sharp examples (d) correct labels
33. 33.True or false: “many varied examples” is bad for training a model. (a) True (b) False
34. 34.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) new data for testing (c) many varied examples (d) photos in many lights
36. 36.🏷️ 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
37. 37.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) very few examples (d) many varied examples
38. 38.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
39. 39.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) blurry, unclear photos (d) wrong labels

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