Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 513 · 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) photos in many lights (b) clear, sharp examples (c) checking labels twice (d) blurry, unclear photos
2. 2.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) clear, sharp examples (d) very few examples
3. 3.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) new data for testing (d) correct labels
4. 4.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
5. 5.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) very few examples (d) photos in many lights
6. 6.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) many varied examples (d) blurry, unclear photos
7. 7.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
8. 8.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) wrong labels (d) correct labels
9. 9.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) very few examples (d) checking labels twice
10. 10.True or false: “wrong labels” is good for training a model. (a) False (b) True
11. 11.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
12. 12.True or false: “new data for testing” is good for training a model. (a) False (b) True
13. 13.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “many varied examples” is bad for training a model. (a) True (b) False
16. 16.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
17. 17.True or false: “examples of every type” 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) False (b) True
19. 19.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) clear, sharp examples (d) very few examples
20. 20.True or false: “copies of one photo” is good for training a model. (a) False (b) True
21. 21.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
22. 22.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) many varied examples (d) labels added at random
23. 23.Which of these is good for training a model? (a) correct labels (b) very few examples (c) only one kind of example (d) wrong labels
24. 24.True or false: “photos in many lights” is good for training a model. (a) True (b) False
25. 25.🏷️ 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
26. 26.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
28. 28.True or false: “correct labels” is bad for training a model. (a) False (b) True
29. 29.🥭 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 be perfect (d) it will turn yellow
30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
31. 31.🏷️ 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
32. 32.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
34. 34.🏷️ 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
35. 35.🏷️ 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
36. 36.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
37. 37.Which of these is bad for training a model? (a) copies of one photo (b) checking labels twice (c) many varied examples (d) new data for testing
38. 38.True or false: “very few examples” is bad for training a model. (a) False (b) True
39. 39.🏷️ 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
40. 40.🔍 Which is the odd one out? (a) examples of every type (b) blurry, unclear photos (c) only one kind of example (d) testing on training data

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