Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 301 · 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 is the odd one out? (a) examples of every type (b) many varied examples (c) testing on training data (d) photos in many lights
2. 2.Which of these is bad for training a model? (a) copies of one photo (b) new data for testing (c) examples of every type (d) correct labels
3. 3.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
4. 4.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
5. 5.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) blurry, unclear photos (d) many varied examples
6. 6.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
7. 7.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) wrong labels (d) clear, sharp examples
8. 8.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
9. 9.True or false: “photos in many lights” is good for training a model. (a) False (b) True
10. 10.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) photos in many lights (d) very few examples
11. 11.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
12. 12.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) checking labels twice (d) many varied examples
14. 14.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
15. 15.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) wrong labels (d) testing on training data
16. 16.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) checking labels twice (d) wrong labels
17. 17.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
18. 18.🏷️ 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
19. 19.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
21. 21.True or false: “labels added at random” is bad for training a model. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) photos in many lights (d) labels added at random
23. 23.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
24. 24.🏷️ 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
25. 25.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
26. 26.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) correct labels (d) copies of one photo
27. 27.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) photos in many lights (d) checking labels twice
28. 28.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) checking labels twice (d) wrong labels
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
30. 30.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) only one kind of example (d) blurry, unclear photos
31. 31.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
32. 32.True or false: “very few examples” is bad for training a model. (a) False (b) True
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
34. 34.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
35. 35.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
36. 36.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) new data for testing (d) examples of every type
37. 37.🔍 Which is the odd one out? (a) blurry, unclear photos (b) many varied examples (c) only one kind of example (d) copies of one photo
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
39. 39.🏷️ 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
40. 40.🏷️ 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

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