Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 395 · 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 is the odd one out? (a) labels added at random (b) only one kind of example (c) very few examples (d) many varied examples
2. 2.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) labels added at random (d) new data for testing
3. 3.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) labels added at random (d) only one kind of example
4. 4.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
5. 5.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) copies of one photo (d) many varied examples
6. 6.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
12. 12.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
13. 13.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
14. 14.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
16. 16.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) labels added at random (d) new data for testing
17. 17.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
18. 18.True or false: “testing on training data” is good for training a model. (a) True (b) False
19. 19.🏷️ 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) not spam (b) spam
20. 20.Which of these is good for training a model? (a) very few examples (b) correct labels (c) wrong labels (d) copies of one photo
21. 21.True or false: “new data for testing” is bad for training a model. (a) True (b) False
22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
23. 23.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) blurry, unclear photos (d) many varied examples
24. 24.🏷️ 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
25. 25.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) very few examples (d) checking labels twice
26. 26.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) only one kind of example (d) photos in many lights
27. 27.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
28. 28.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
29. 29.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
31. 31.True or false: “very few examples” is bad for training a model. (a) False (b) True
32. 32.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
33. 33.🐶 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) many labelled photos (d) one single photo
34. 34.🏷️ 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
35. 35.Which of these is good for training a model? (a) examples of every type (b) very few examples (c) testing on training data (d) only one kind of example
36. 36.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) wrong labels (d) copies of one photo
37. 37.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
39. 39.True or false: “labels added at random” is good for training a model. (a) True (b) False
40. 40.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) copies of one photo (d) checking labels twice

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