Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 524 · 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.🏷️ 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
2. 2.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
3. 3.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) labels added at random (d) many varied examples
4. 4.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
5. 5.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
6. 6.🏷️ 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
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
8. 8.📚 Good or bad for training a model: many varied examples? (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 “spam”. (a) True (b) False
10. 10.Which of these is good for training a model? (a) testing on training data (b) correct labels (c) copies of one photo (d) labels added at random
11. 11.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
12. 12.Which of these is good for training a model? (a) labels added at random (b) checking labels twice (c) very few examples (d) blurry, unclear photos
13. 13.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
14. 14.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
15. 15.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
17. 17.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
18. 18.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
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.🥭 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 will be perfect (d) it may get it wrong
21. 21.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) many varied examples
22. 22.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
23. 23.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) correct labels (d) clear, sharp examples
24. 24.True or false: “only one kind of example” is good for training a model. (a) False (b) True
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
26. 26.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) copies of one photo (d) many varied examples
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
28. 28.🏷️ 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
29. 29.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
30. 30.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
31. 31.🏷️ 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
32. 32.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
33. 33.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) correct labels (d) copies of one photo
34. 34.True or false: “correct labels” is good for training a model. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) examples of every type (b) testing on training data (c) correct labels (d) many varied examples
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
37. 37.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
38. 38.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
39. 39.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False

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