Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 260 · 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) photos in many lights (b) labels added at random (c) very few examples (d) only one kind of example
2. 2.True or false: “many varied examples” is good for training a model. (a) False (b) True
3. 3.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) blurry, unclear photos (d) only one kind of example
4. 4.True or false: “copies of one photo” is good for training a model. (a) False (b) True
5. 5.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
6. 6.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
7. 7.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
8. 8.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) labels added at random (d) clear, sharp examples
9. 9.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
10. 10.🥭 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
11. 11.🏷️ 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
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
13. 13.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
14. 14.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
15. 15.True or false: “labels added at random” is good for training a model. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) correct labels (d) new data for testing
17. 17.🏷️ 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
18. 18.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
19. 19.Which of these is good for training a model? (a) copies of one photo (b) examples of every type (c) testing on training data (d) labels added at random
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
22. 22.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
23. 23.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
24. 24.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
25. 25.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
26. 26.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
27. 27.Which of these is good for training a model? (a) new data for testing (b) testing on training data (c) only one kind of example (d) copies of one photo
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
29. 29.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
31. 31.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
32. 32.True or false: “new data for testing” is bad for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
34. 34.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) many varied examples (d) blurry, unclear photos
35. 35.🏷️ 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
36. 36.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) photos in many lights (d) checking labels twice
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
38. 38.True or false: “testing on training data” is bad for training a model. (a) False (b) True
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False

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