Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 465 · 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 good for training a model? (a) copies of one photo (b) only one kind of example (c) checking labels twice (d) labels added at random
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
3. 3.🐶 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) many labelled photos (d) a song about dogs
4. 4.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
5. 5.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
6. 6.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) many varied examples (d) clear, sharp examples
7. 7.True or false: “correct labels” is good for training a model. (a) False (b) True
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
9. 9.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) correct labels
10. 10.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) testing on training data (d) clear, sharp examples
11. 11.True or false: “photos in many lights” is good for training a model. (a) False (b) True
12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
13. 13.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) new data for testing (d) very few examples
14. 14.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) correct labels (d) photos in many lights
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) testing on training data (b) clear, sharp examples (c) photos in many lights (d) correct labels
18. 18.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) blurry, unclear photos (d) checking labels twice
20. 20.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) correct labels (d) very few examples
21. 21.🏷️ 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
22. 22.🏷️ 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
23. 23.🏷️ 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
24. 24.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
25. 25.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
26. 26.Which of these is good for training a model? (a) very few examples (b) many varied examples (c) only one kind of example (d) copies of one photo
27. 27.📚 Good or bad for training a model: new data for testing? (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.🏷️ 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
30. 30.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
31. 31.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) wrong labels (d) examples of every type
32. 32.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
34. 34.🥭 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 will shut down (d) it may get it wrong
35. 35.True or false: “correct labels” is bad for training a model. (a) True (b) False
36. 36.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) labels added at random (d) clear, sharp examples
37. 37.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
38. 38.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
39. 39.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
40. 40.True or false: “testing on training data” is good for training a model. (a) True (b) False

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