Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 288 · 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: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
2. 2.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
3. 3.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
4. 4.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) copies of one photo (d) correct labels
5. 5.True or false: “checking labels twice” is good for training a model. (a) True (b) False
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
7. 7.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
8. 8.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
9. 9.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
10. 10.True or false: “very few examples” is bad for training a model. (a) False (b) True
11. 11.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
12. 12.🏷️ 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
13. 13.Which of these is bad for training a model? (a) correct labels (b) wrong labels (c) photos in many lights (d) clear, sharp examples
14. 14.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) examples of every type (d) very few examples
16. 16.🏷️ 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
17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
18. 18.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
20. 20.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) many varied examples
21. 21.True or false: “examples of every type” is bad for training a model. (a) False (b) True
22. 22.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
23. 23.🔍 Which is the odd one out? (a) very few examples (b) labels added at random (c) blurry, unclear photos (d) clear, sharp examples
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) spam (b) not spam
25. 25.🏷️ 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
26. 26.Which of these is good for training a model? (a) new data for testing (b) wrong labels (c) blurry, unclear photos (d) copies of one photo
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
28. 28.Which of these is bad for training a model? (a) testing on training data (b) photos in many lights (c) new data for testing (d) many varied examples
29. 29.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
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.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) labels added at random (d) checking labels twice
33. 33.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
35. 35.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
36. 36.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: “correct labels” is bad for training a model. (a) False (b) True
38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) correct labels
39. 39.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) very few examples (d) new data for testing
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True

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