Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 479 · 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 bad for training a model? (a) examples of every type (b) clear, sharp examples (c) copies of one photo (d) new data for testing
2. 2.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) clear, sharp examples (d) very few examples
3. 3.🏷️ 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
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) new data for testing (d) labels added at random
8. 8.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
9. 9.True or false: “very few examples” is bad for training a model. (a) False (b) True
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
11. 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
12. 12.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
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 of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) very few examples (d) wrong labels
15. 15.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
16. 16.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
18. 18.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
19. 19.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
21. 21.🏷️ 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
22. 22.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
23. 23.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) wrong labels (d) copies of one photo
25. 25.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
26. 26.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
27. 27.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) only one kind of example (d) photos in many lights
28. 28.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) testing on training data (d) many varied examples
29. 29.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) checking labels twice (d) blurry, unclear photos
30. 30.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
31. 31.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) wrong labels (d) only one kind of example
32. 32.🏷️ 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
33. 33.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) examples of every type (d) testing on training data
35. 35.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) only one kind of example (d) copies of one photo
36. 36.True or false: “checking labels twice” is good for training a model. (a) False (b) True
37. 37.🥭 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 may get it wrong (d) it will shut down
38. 38.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
40. 40.🏷️ 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

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