Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 114 · 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: “testing on training data” is bad for training a model. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) examples of every type (d) labels added at random
3. 3.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
4. 4.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
5. 5.Which of these is good for training a model? (a) new data for testing (b) wrong labels (c) copies of one photo (d) blurry, unclear photos
6. 6.🏷️ 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
7. 7.True or false: “many varied examples” is bad for training a model. (a) True (b) False
8. 8.🏷️ 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
9. 9.True or false: “correct labels” is good for training a model. (a) False (b) True
10. 10.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
11. 11.True or false: “copies of one photo” is good for training a model. (a) True (b) False
12. 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
13. 13.True or false: “wrong labels” is good for training a model. (a) False (b) True
14. 14.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) photos in many lights (d) clear, sharp examples
15. 15.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
17. 17.True or false: “many varied examples” is good for training a model. (a) True (b) False
18. 18.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
19. 19.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) clear, sharp examples (b) only one kind of example (c) correct labels (d) checking labels twice
21. 21.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) checking labels twice (d) examples of every type
22. 22.True or false: “examples of every type” is bad for training a model. (a) False (b) True
23. 23.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
24. 24.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
25. 25.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
26. 26.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) wrong labels (d) copies of one photo
27. 27.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
28. 28.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) wrong labels (d) correct labels
29. 29.🏷️ 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
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
31. 31.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) many varied examples (b) very few examples (c) copies of one photo (d) wrong labels
33. 33.🏷️ 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
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
35. 35.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) wrong labels (d) examples of every type
36. 36.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
38. 38.True or false: “new data for testing” is good for training a model. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) testing on training data (d) labels added at random
40. 40.🏷️ 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

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