Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 425 · 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? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
2. 2.🏷️ 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
3. 3.True or false: “new data for testing” is good for training a model. (a) False (b) True
4. 4.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
5. 5.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) clear, sharp examples (d) photos in many lights
6. 6.🏷️ 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
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
8. 8.🔍 Which is the odd one out? (a) testing on training data (b) examples of every type (c) copies of one photo (d) wrong labels
9. 9.True or false: “very few examples” is good for training a model. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) blurry, unclear photos (b) checking labels twice (c) clear, sharp examples (d) correct labels
11. 11.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) new data for testing (d) examples of every type
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 of these is good for training a model? (a) only one kind of example (b) very few examples (c) clear, sharp examples (d) wrong labels
14. 14.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
15. 15.True or false: “many varied examples” is bad for training a model. (a) True (b) False
16. 16.True or false: “very few examples” is bad for training a model. (a) False (b) True
17. 17.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) only one kind of example (d) photos in many lights
18. 18.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
19. 19.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) blurry, unclear photos (d) only one kind of example
20. 20.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) copies of one photo (d) correct labels
21. 21.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
22. 22.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) examples of every type (d) correct labels
23. 23.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
24. 24.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) testing on training data (d) checking labels twice
25. 25.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) testing on training data (d) correct labels
26. 26.True or false: “wrong labels” is good for training a model. (a) False (b) True
27. 27.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
28. 28.True or false: “labels added at random” is bad for training a model. (a) False (b) True
29. 29.True or false: “correct labels” is bad for training a model. (a) True (b) False
30. 30.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
31. 31.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
32. 32.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
33. 33.🏷️ 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
34. 34.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
37. 37.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
38. 38.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) copies of one photo (d) new data for testing
40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training

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