Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 337 · 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.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
2. 2.True or false: “examples of every type” is bad for training a model. (a) False (b) True
3. 3.🏷️ 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
4. 4.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) examples of every type (d) only one kind of example
5. 5.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
6. 6.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) checking labels twice (d) very few examples
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
10. 10.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
12. 12.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) testing on training data (d) photos in many lights
13. 13.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) new data for testing (d) labels added at random
14. 14.True or false: “testing on training data” is good for training a model. (a) False (b) True
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
16. 16.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) examples of every type (d) only one kind of example
17. 17.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
18. 18.True or false: “many varied examples” is good for training a model. (a) False (b) True
19. 19.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
20. 20.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
21. 21.Which of these is bad for training a model? (a) photos in many lights (b) wrong labels (c) clear, sharp examples (d) many varied examples
22. 22.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) wrong labels (d) very few examples
23. 23.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
24. 24.🏷️ 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
25. 25.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) copies of one photo (d) checking labels twice
27. 27.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
28. 28.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
29. 29.True or false: “correct labels” is bad for training a model. (a) True (b) False
30. 30.🏷️ 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
31. 31.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) very few examples (d) correct labels
32. 32.True or false: “only one kind of example” is good for training a model. (a) True (b) False
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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
35. 35.True or false: “checking labels twice” is good for training a model. (a) False (b) True
36. 36.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) many varied examples (d) very few examples
37. 37.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) only one kind of example (d) blurry, unclear photos
38. 38.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) very few examples (d) blurry, unclear photos
39. 39.🏷️ 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
40. 40.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True

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