Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 166 · 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 bad for training a model? (a) correct labels (b) new data for testing (c) very few examples (d) many varied examples
2. 2.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
3. 3.True or false: “new data for testing” is good for training a model. (a) False (b) True
4. 4.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
5. 5.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
6. 6.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) examples of every type (d) wrong labels
7. 7.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
8. 8.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) labels added at random (d) wrong labels
9. 9.True or false: “labels added at random” is bad for training a model. (a) True (b) False
10. 10.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
11. 11.🏷️ 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
12. 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) photos in many lights (d) many varied examples
14. 14.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) new data for testing (d) blurry, unclear photos
15. 15.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) photos in many lights (d) only one kind of example
16. 16.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
18. 18.True or false: “correct labels” is bad for training a model. (a) False (b) True
19. 19.🏷️ 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
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
21. 21.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) copies of one photo (d) clear, sharp examples
22. 22.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
23. 23.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
24. 24.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
25. 25.🔍 Which is the odd one out? (a) blurry, unclear photos (b) many varied examples (c) very few examples (d) copies of one photo
26. 26.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
28. 28.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) checking labels twice (d) labels added at random
29. 29.True or false: “examples of every type” is bad for training a model. (a) True (b) False
30. 30.True or false: “examples of every type” is good for training a model. (a) True (b) False
31. 31.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
32. 32.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) correct labels (d) examples of every type
33. 33.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
34. 34.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) copies of one photo (d) photos in many lights
35. 35.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
37. 37.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
38. 38.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training

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