Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 538 · 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) wrong labels (b) very few examples (c) labels added at random (d) checking labels twice
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) many varied examples (d) correct labels
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
4. 4.True or false: “very few examples” is bad for training a model. (a) True (b) False
5. 5.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
6. 6.🐶 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
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
8. 8.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) checking labels twice (d) new data for testing
9. 9.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) examples of every type (d) photos in many lights
10. 10.True or false: “correct labels” is good for training a model. (a) True (b) False
11. 11.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
12. 12.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
13. 13.Which of these is bad for training a model? (a) only one kind of example (b) new data for testing (c) correct labels (d) clear, sharp examples
14. 14.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
15. 15.True or false: “examples of every type” is bad for training a model. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) very few examples (d) testing on training data
17. 17.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
18. 18.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
19. 19.Which of these is good for training a model? (a) very few examples (b) many varied examples (c) labels added at random (d) copies of one photo
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
21. 21.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good 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.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) testing on training data (d) new data for testing
25. 25.🏷️ 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
26. 26.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
27. 27.True or false: “photos in many lights” is good for training a model. (a) True (b) False
28. 28.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
29. 29.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
30. 30.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
32. 32.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
34. 34.True or false: “new data for testing” is bad for training a model. (a) False (b) True
35. 35.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
36. 36.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) labels added at random (d) only one kind of example
37. 37.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) many varied examples (d) only one kind of example
39. 39.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
40. 40.True or false: “labels added at random” is bad for training a model. (a) True (b) False

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