Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 566 · 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 good for training a model? (a) very few examples (b) checking labels twice (c) wrong labels (d) labels added at random
2. 2.🏷️ 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
3. 3.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) checking labels twice (d) only one kind of example
4. 4.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) examples of every type (d) copies of one photo
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
7. 7.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
8. 8.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
9. 9.Which of these is bad for training a model? (a) labels added at random (b) examples of every type (c) many varied examples (d) checking labels twice
10. 10.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
11. 11.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
12. 12.🏷️ 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
13. 13.🏷️ 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
14. 14.🔍 Which is the odd one out? (a) blurry, unclear photos (b) examples of every type (c) wrong labels (d) testing on training data
15. 15.True or false: “testing on training data” is good for training a model. (a) True (b) False
16. 16.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) clear, sharp examples (d) wrong labels
17. 17.🏷️ 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
18. 18.Which of these is good for training a model? (a) photos in many lights (b) wrong labels (c) testing on training data (d) only one kind of example
19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
20. 20.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
21. 21.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
22. 22.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
23. 23.🏷️ 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
24. 24.🏷️ 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
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) not spam (b) spam
26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
27. 27.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
28. 28.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) copies of one photo (d) very few examples
29. 29.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) blurry, unclear photos (d) checking labels twice
30. 30.🔍 Which is the odd one out? (a) very few examples (b) labels added at random (c) clear, sharp examples (d) only one kind of example
31. 31.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) checking labels twice (d) blurry, unclear photos
32. 32.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
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: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) correct labels (d) labels added at random
37. 37.True or false: “many varied examples” is good for training a model. (a) True (b) False
38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) very few examples (d) testing on training data
39. 39.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
40. 40.True or false: “only one kind of example” is good for training a model. (a) False (b) True

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