Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 161 · 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? “Science project groups are on the board” (a) not spam (b) spam
2. 2.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) new data for testing (d) very few examples
3. 3.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
4. 4.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
5. 5.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
6. 6.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
7. 7.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) only one kind of example (d) blurry, unclear photos
8. 8.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
9. 9.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
10. 10.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
11. 11.Which of these is bad for training a model? (a) many varied examples (b) blurry, unclear photos (c) checking labels twice (d) new data for testing
12. 12.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) checking labels twice (d) copies of one photo
13. 13.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
14. 14.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) clear, sharp examples (d) wrong labels
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
16. 16.True or false: “testing on training data” is good for training a model. (a) True (b) False
17. 17.🥭 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 shut down (d) it will be perfect
18. 18.True or false: “wrong labels” is good for training a model. (a) False (b) True
19. 19.True or false: “many varied examples” is bad for training a model. (a) True (b) False
20. 20.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
21. 21.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) testing on training data (d) correct labels
23. 23.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) very few examples (d) copies of one photo
24. 24.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
25. 25.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) photos in many lights (d) new data for testing
26. 26.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
27. 27.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) photos in many lights (d) correct labels
28. 28.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
30. 30.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
32. 32.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) copies of one photo (d) only one kind of example
33. 33.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
34. 34.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) many varied examples (d) correct labels
36. 36.True or false: the message “Please buy milk on the way home” 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? “Match practice moved to 5 pm” (a) spam (b) not spam
38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) many varied examples (c) blurry, unclear photos (d) wrong labels
40. 40.True or false: “very few examples” is good for training a model. (a) False (b) True

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students