Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 111 · 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? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
2. 2.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) examples of every type (d) very few examples
4. 4.🏷️ 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
5. 5.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) photos in many lights
6. 6.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) testing on training data (d) examples of every type
7. 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
8. 8.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
9. 9.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
10. 10.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
11. 11.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) correct labels (d) new data for testing
12. 12.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
13. 13.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) wrong labels (d) copies of one photo
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
15. 15.🏷️ 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
16. 16.Which of these is good for training a model? (a) wrong labels (b) examples of every type (c) copies of one photo (d) only one kind of example
17. 17.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) blurry, unclear photos (d) labels added at random
18. 18.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
19. 19.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
20. 20.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
21. 21.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
22. 22.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
23. 23.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) only one kind of example (d) very few examples
25. 25.Which of these is bad for training a model? (a) new data for testing (b) very few examples (c) many varied examples (d) checking labels twice
26. 26.🏷️ 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
27. 27.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) correct labels (d) only one kind of example
28. 28.True or false: “many varied examples” is bad for training a model. (a) False (b) True
29. 29.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
30. 30.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) blurry, unclear photos (d) clear, sharp examples
32. 32.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
33. 33.Which of these is bad for training a model? (a) photos in many lights (b) blurry, unclear photos (c) clear, sharp examples (d) checking labels twice
34. 34.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) only one kind of example (d) new data for testing
35. 35.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) correct labels (d) labels added at random
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
37. 37.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) many varied examples (d) copies of one photo
39. 39.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam

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