Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 126 · 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 of these is bad for training a model? (a) examples of every type (b) wrong labels (c) many varied examples (d) checking labels twice
2. 2.🏷️ 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
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
4. 4.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) copies of one photo (d) wrong labels
5. 5.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
6. 6.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
7. 7.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
8. 8.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) testing on training data (d) many varied examples
10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) new data for testing (d) checking labels twice
11. 11.📚 Good or bad for training a model: wrong 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? “You won a free phone! Click now!” (a) spam (b) not spam
13. 13.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
15. 15.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) correct labels (d) many varied examples
16. 16.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) very few examples (d) examples of every type
17. 17.🏷️ 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
18. 18.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
21. 21.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
22. 22.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
23. 23.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) checking labels twice (d) testing on training data
24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
25. 25.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) wrong labels (d) checking labels twice
26. 26.True or false: “examples of every type” is good for training a model. (a) True (b) False
27. 27.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
28. 28.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) new data for testing (d) checking labels twice
29. 29.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
30. 30.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) very few examples (d) many varied examples
31. 31.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) a sticker on a laptop (d) the font size
32. 32.🏷️ 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
33. 33.True or false: “only one kind of example” is good for training a model. (a) True (b) False
34. 34.🏷️ 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
35. 35.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
36. 36.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) blurry, unclear photos (d) many varied examples
37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
39. 39.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) only one kind of example (d) checking labels twice
40. 40.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) photos in many lights (d) only one kind of example

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