Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 546 · 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? “Share your OTP to get cashback” (a) spam (b) not spam
2. 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
3. 3.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
4. 4.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) new data for testing (d) very few examples
6. 6.True or false: “many varied examples” is bad for training a model. (a) False (b) True
7. 7.Which of these is bad for training a model? (a) blurry, unclear photos (b) correct labels (c) checking labels twice (d) examples of every type
8. 8.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
9. 9.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
10. 10.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) correct labels (d) very few examples
12. 12.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) correct labels (d) very few examples
16. 16.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) examples of every type (d) only one kind of example
17. 17.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
18. 18.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) examples of every type (d) very few examples
19. 19.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
20. 20.🏷️ 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
21. 21.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
22. 22.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) clear, sharp examples (d) testing on training data
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) labels added at random (c) wrong labels (d) clear, sharp examples
24. 24.True or false: “correct labels” is good for training a model. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) labels added at random (d) photos in many lights
26. 26.Which of these is bad for training a model? (a) many varied examples (b) copies of one photo (c) examples of every type (d) clear, sharp examples
27. 27.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
28. 28.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) wrong labels (d) correct labels
30. 30.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
31. 31.True or false: “very few examples” is good for training a model. (a) True (b) False
32. 32.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
33. 33.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) many varied examples (d) testing on training data
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
38. 38.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) testing on training data (d) wrong labels
39. 39.🏷️ 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
40. 40.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training

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