Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 48 · 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.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
3. 3.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) photos in many lights (d) wrong labels
4. 4.Which of these is bad for training a model? (a) testing on training data (b) many varied examples (c) correct labels (d) clear, sharp examples
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
6. 6.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) only one kind of example (d) new data for testing
8. 8.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
9. 9.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) examples of every type (d) blurry, unclear photos
10. 10.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
11. 11.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) checking labels twice (d) very few examples
12. 12.🏷️ 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
13. 13.🏷️ 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
14. 14.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) checking labels twice (d) very few examples
15. 15.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
16. 16.True or false: “labels added at random” is bad for training a model. (a) False (b) True
17. 17.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) very few examples (d) photos in many lights
18. 18.🔍 Which is the odd one out? (a) clear, sharp examples (b) only one kind of example (c) many varied examples (d) examples of every type
19. 19.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) wrong labels (d) many varied examples
20. 20.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
21. 21.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) many varied examples (d) copies of one photo
22. 22.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
24. 24.🔍 Which is the odd one out? (a) correct labels (b) wrong labels (c) blurry, unclear photos (d) very few examples
25. 25.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
26. 26.📚 Usually, more good examples make a model… (a) better at its task (b) slower to switch on (c) change colour (d) forget everything
27. 27.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
29. 29.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
30. 30.Which of these is bad for training a model? (a) many varied examples (b) very few examples (c) photos in many lights (d) examples of every type
31. 31.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
32. 32.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.🏷️ 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
35. 35.True or false: “many varied examples” is bad for training a model. (a) True (b) False
36. 36.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
37. 37.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) only one kind of example (d) checking labels twice
38. 38.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) photos in many lights (d) blurry, unclear photos
40. 40.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training

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