Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 85 · 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: “new data for testing” is bad for training a model. (a) False (b) True
2. 2.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
3. 3.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
4. 4.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
5. 5.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
6. 6.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
7. 7.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
9. 9.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
11. 11.🏷️ 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
12. 12.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) wrong labels (d) correct labels
13. 13.🏷️ 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
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
15. 15.🏷️ 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
16. 16.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
17. 17.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
18. 18.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) correct labels (d) only one kind of example
19. 19.True or false: “very few examples” is bad for training a model. (a) False (b) True
20. 20.🐶 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
21. 21.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
22. 22.🏷️ 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
23. 23.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
24. 24.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
25. 25.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) testing on training data (d) checking labels twice
26. 26.Which of these is good for training a model? (a) wrong labels (b) photos in many lights (c) testing on training data (d) very few examples
27. 27.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
29. 29.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
30. 30.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) new data for testing (d) copies of one photo
31. 31.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
32. 32.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) blurry, unclear photos (d) new data for testing
33. 33.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
34. 34.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
35. 35.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
36. 36.🏷️ 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
37. 37.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
38. 38.True or false: “labels added at random” is good for training a model. (a) True (b) False
39. 39.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
40. 40.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) many varied examples (d) testing on training data

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