Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 420 · 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) True (b) False
2. 2.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
3. 3.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
4. 4.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
5. 5.True or false: “correct labels” is bad for training a model. (a) True (b) False
6. 6.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
7. 7.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) correct labels (d) many varied examples
10. 10.True or false: “new data for testing” is good for training a model. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) photos in many lights (d) clear, sharp examples
12. 12.🏷️ 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
13. 13.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
14. 14.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
15. 15.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
17. 17.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
18. 18.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
19. 19.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
21. 21.True or false: “wrong labels” is good for training a model. (a) True (b) False
22. 22.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
24. 24.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
25. 25.🏷️ 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
26. 26.🏷️ 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
27. 27.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will shut down (d) it will be perfect
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
29. 29.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) very few examples (d) labels added at random
30. 30.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) blurry, unclear photos (b) correct labels (c) checking labels twice (d) new data for testing
32. 32.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
33. 33.Which of these is bad for training a model? (a) clear, sharp examples (b) testing on training data (c) many varied examples (d) checking labels twice
34. 34.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) only one kind of example (d) new data for testing
35. 35.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
36. 36.Which of these is good for training a model? (a) testing on training data (b) correct labels (c) very few examples (d) wrong labels
37. 37.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) examples of every type (d) copies of one photo
38. 38.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) clear, sharp examples (d) examples of every type
40. 40.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False

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