Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 459 · 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.True or false: “copies of one photo” is good for training a model. (a) True (b) False
2. 2.True or false: “new data for testing” is bad for training a model. (a) False (b) True
3. 3.🏷️ 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
4. 4.Which of these is good for training a model? (a) photos in many lights (b) labels added at random (c) only one kind of example (d) testing on training data
5. 5.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) copies of one photo (d) examples of every type
6. 6.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) examples of every type (d) testing on training data
7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
8. 8.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
10. 10.🏷️ 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
11. 11.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) correct labels (d) blurry, unclear photos
12. 12.🏷️ 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
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) a list of rules only (d) many labelled photos
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
15. 15.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) photos in many lights (d) copies of one photo
17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
18. 18.True or false: “only one kind of example” is good for training a model. (a) True (b) False
19. 19.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
20. 20.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) only one kind of example (d) examples of every type
22. 22.True or false: “checking labels twice” is good for training a model. (a) False (b) True
23. 23.True or false: “wrong labels” is good for training a model. (a) True (b) False
24. 24.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
26. 26.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
27. 27.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
28. 28.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
29. 29.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) only one kind of example (d) blurry, unclear photos
30. 30.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
31. 31.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
32. 32.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
33. 33.🏷️ 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
34. 34.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) many varied examples (d) correct labels
35. 35.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) photos in many lights (d) very few examples
36. 36.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
37. 37.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) many varied examples (d) only one kind of example
38. 38.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) blurry, unclear photos (d) correct labels
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam

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