Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 92 · 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.True or false: “testing on training data” is bad for training a model. (a) False (b) True
2. 2.True or false: “labels added at random” is good for training a model. (a) True (b) False
3. 3.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
4. 4.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) new data for testing (d) labels added at random
6. 6.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) clear, sharp examples (d) testing on training data
7. 7.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) testing on training data (d) checking labels twice
8. 8.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) wrong labels (d) checking labels twice
9. 9.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) labels added at random (d) many varied examples
10. 10.🏷️ 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
11. 11.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) blurry, unclear photos (d) only one kind of example
12. 12.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
13. 13.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) checking labels twice (d) very few examples
15. 15.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) new data for testing (d) clear, sharp examples
16. 16.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
17. 17.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
19. 19.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) copies of one photo (d) labels added at random
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
21. 21.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) correct labels (d) checking labels twice
22. 22.Which of these is bad for training a model? (a) copies of one photo (b) photos in many lights (c) new data for testing (d) examples of every type
23. 23.📚 Good or bad for training a model: wrong labels? (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? “Send your password to claim a prize” (a) not spam (b) spam
25. 25.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
26. 26.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
27. 27.Which of these is good for training a model? (a) blurry, unclear photos (b) new data for testing (c) only one kind of example (d) wrong labels
28. 28.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
29. 29.True or false: “only one kind of example” is good for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) very few examples (d) correct labels
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
32. 32.True or false: “wrong labels” is bad for training a model. (a) True (b) False
33. 33.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
34. 34.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
35. 35.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
37. 37.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
38. 38.🏷️ 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
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
40. 40.True or false: “checking labels twice” is bad for training a model. (a) True (b) False

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