Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 27 · 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) labels added at random (b) new data for testing (c) wrong labels (d) only one kind of example
2. 2.True or false: “many varied examples” is bad for training a model. (a) True (b) False
3. 3.🏷️ 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
4. 4.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
5. 5.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
6. 6.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
7. 7.🏷️ 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
8. 8.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
9. 9.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
10. 10.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
11. 11.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) clear, sharp examples (d) blurry, unclear photos
12. 12.🏷️ 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
13. 13.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) correct labels (d) labels added at random
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
15. 15.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
16. 16.Which of these is bad for training a model? (a) testing on training data (b) examples of every type (c) clear, sharp examples (d) photos in many lights
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) clear, sharp examples (d) very few examples
18. 18.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
19. 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
20. 20.🥭 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
21. 21.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) testing on training data (d) photos in many lights
22. 22.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
23. 23.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
24. 24.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
25. 25.Which of these is bad for training a model? (a) labels added at random (b) new data for testing (c) clear, sharp examples (d) examples of every type
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
27. 27.True or false: “correct labels” is good for training a model. (a) False (b) True
28. 28.True or false: “photos in many lights” is good for training a model. (a) False (b) True
29. 29.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
30. 30.True or false: “copies of one photo” is bad for training a model. (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) spam (b) not spam
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
34. 34.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) wrong labels (d) many varied examples
35. 35.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) testing on training data (d) photos in many lights
36. 36.True or false: “examples of every type” is bad for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
38. 38.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
40. 40.Which of these is bad for training a model? (a) many varied examples (b) blurry, unclear photos (c) photos in many lights (d) checking labels twice

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