Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 218 · 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.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
2. 2.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
3. 3.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) examples of every type (d) correct labels
4. 4.True or false: “very few examples” is bad for training a model. (a) True (b) False
5. 5.True or false: “wrong labels” is good for training a model. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) correct labels (d) blurry, unclear photos
7. 7.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
8. 8.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) correct labels (d) wrong labels
9. 9.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) examples of every type (d) correct labels
11. 11.True or false: “correct labels” is good for training a model. (a) False (b) True
12. 12.🏷️ 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
13. 13.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
14. 14.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) clear, sharp examples (d) copies of one photo
15. 15.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) photos in many lights (d) copies of one photo
16. 16.True or false: “testing on training data” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
19. 19.True or false: “only one kind of example” is good for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) testing on training data (d) correct labels
21. 21.Which of these is bad for training a model? (a) photos in many lights (b) only one kind of example (c) many varied examples (d) examples of every type
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
23. 23.🏷️ 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
24. 24.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
25. 25.True or false: “many varied examples” is bad for training a model. (a) False (b) True
26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
27. 27.🏷️ 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
28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
29. 29.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) clear, sharp examples (d) only one kind of example
31. 31.🏷️ 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
32. 32.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
33. 33.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
35. 35.True or false: “correct labels” is bad for training a model. (a) False (b) True
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.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
38. 38.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) only one kind of example (d) photos in many lights
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) many labelled photos (d) one single photo
40. 40.True or false: “photos in many lights” is good for training a model. (a) False (b) True

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