Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 25 · 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) blurry, unclear photos (b) very few examples (c) correct labels (d) copies of one photo
2. 2.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) checking labels twice (d) testing on training data
3. 3.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) very few examples (d) new data for testing
4. 4.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
5. 5.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
6. 6.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
7. 7.🏷️ 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
8. 8.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
9. 9.Which of these is bad for training a model? (a) blurry, unclear photos (b) many varied examples (c) new data for testing (d) examples of every type
10. 10.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) correct labels (d) wrong labels
11. 11.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
14. 14.🏷️ 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
15. 15.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
16. 16.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
17. 17.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
18. 18.Which of these is good for training a model? (a) many varied examples (b) testing on training data (c) blurry, unclear photos (d) labels added at random
19. 19.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) many varied examples (d) copies of one photo
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
21. 21.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) very few examples (d) checking labels twice
23. 23.True or false: “only one kind of example” is good for training a model. (a) False (b) True
24. 24.True or false: “labels added at random” is bad for training a model. (a) True (b) False
25. 25.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
26. 26.True or false: “testing on training data” is bad for training a model. (a) True (b) False
27. 27.True or false: “wrong labels” is good for training a model. (a) True (b) False
28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
29. 29.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
30. 30.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) many varied examples (d) copies of one photo
31. 31.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) examples of every type (d) correct labels
32. 32.🏷️ 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
33. 33.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) new data for testing (d) checking labels twice
36. 36.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) correct labels (d) very few examples
37. 37.True or false: “new data for testing” is bad for training a model. (a) False (b) True
38. 38.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) new data for testing (d) photos in many lights
40. 40.True or false: “checking labels twice” is good for training a model. (a) False (b) True

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