Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 95 · 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: checking labels twice? (a) bad for training (b) good for training
2. 2.True or false: “checking labels twice” is good for training a model. (a) False (b) True
3. 3.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
4. 4.🏷️ 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
5. 5.True or false: “correct labels” is bad for training a model. (a) True (b) False
6. 6.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) blurry, unclear photos
7. 7.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
8. 8.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
9. 9.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) examples of every type (d) wrong labels
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
11. 11.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
12. 12.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
13. 13.Which of these is good for training a model? (a) very few examples (b) clear, sharp examples (c) only one kind of example (d) copies of one photo
14. 14.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) examples of every type (d) copies of one photo
15. 15.🐶 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
16. 16.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) only one kind of example (d) very few examples
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
19. 19.True or false: “wrong labels” is good for training a model. (a) False (b) True
20. 20.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
21. 21.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) copies of one photo (d) many varied examples
22. 22.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
23. 23.True or false: “examples of every type” is bad for training a model. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) new data for testing (d) only one kind of example
25. 25.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
26. 26.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
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.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
29. 29.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) labels added at random (d) new data for testing
31. 31.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) only one kind of example (d) photos in many lights
32. 32.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
33. 33.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) photos in many lights (d) testing on training data
34. 34.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) clear, sharp examples (d) copies of one photo
36. 36.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
38. 38.🏷️ 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
39. 39.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False

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