Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 537 · 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: examples of every type? (a) good for training (b) bad for training
2. 2.True or false: “labels added at random” is bad for training a model. (a) True (b) False
3. 3.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
4. 4.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) blurry, unclear photos (d) many varied examples
5. 5.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) correct labels (d) blurry, unclear photos
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
7. 7.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
8. 8.🏷️ 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
9. 9.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
11. 11.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
12. 12.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) photos in many lights (d) testing on training data
13. 13.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) many varied examples (d) wrong labels
15. 15.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) wrong labels (d) checking labels twice
16. 16.True or false: “many varied examples” is good for training a model. (a) False (b) True
17. 17.🏷️ 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
18. 18.🏷️ 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
19. 19.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
21. 21.True or false: “checking labels twice” is good for training a model. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) copies of one photo (d) checking labels twice
23. 23.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
24. 24.🏷️ 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) not spam (b) spam
25. 25.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) examples of every type (d) correct labels
27. 27.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
28. 28.Which of these is bad for training a model? (a) examples of every type (b) blurry, unclear photos (c) correct labels (d) many varied examples
29. 29.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
30. 30.🏷️ 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
31. 31.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
32. 32.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) labels added at random (d) many varied examples
33. 33.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) labels added at random (d) clear, sharp examples
34. 34.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) copies of one photo (d) examples of every type
35. 35.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
37. 37.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
38. 38.🏷️ 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
39. 39.🐶 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
40. 40.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True

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