Machine Learning for Kids Worksheet

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

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