Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 157 · 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) only one kind of example (b) blurry, unclear photos (c) very few examples (d) correct labels
2. 2.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
3. 3.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) forget everything (d) slower to switch on
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
6. 6.True or false: “labels added at random” is bad for training a model. (a) True (b) False
7. 7.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
8. 8.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) testing on training data (b) checking labels twice (c) wrong labels (d) very few examples
10. 10.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
11. 11.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) wrong labels (d) only one kind of example
12. 12.🥭 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 will be perfect (d) it may get it wrong
13. 13.Which of these is bad for training a model? (a) labels added at random (b) photos in many lights (c) many varied examples (d) examples of every type
14. 14.True or false: “checking labels twice” is good for training a model. (a) True (b) False
15. 15.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
16. 16.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
17. 17.True or false: “correct labels” is good for training a model. (a) True (b) False
18. 18.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
19. 19.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
20. 20.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) correct labels (d) blurry, unclear photos
21. 21.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) correct labels (d) blurry, unclear photos
22. 22.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) many varied examples (d) labels added at random
23. 23.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
24. 24.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
25. 25.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
26. 26.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
27. 27.🏷️ 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
28. 28.Which of these is bad for training a model? (a) copies of one photo (b) clear, sharp examples (c) examples of every type (d) checking labels twice
29. 29.🏷️ 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
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
31. 31.Which of these is good for training a model? (a) labels added at random (b) photos in many lights (c) blurry, unclear photos (d) wrong labels
32. 32.Which of these is bad for training a model? (a) photos in many lights (b) very few examples (c) many varied examples (d) examples of every type
33. 33.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
34. 34.Which of these is bad for training a model? (a) new data for testing (b) testing on training data (c) correct labels (d) clear, sharp examples
35. 35.True or false: “correct labels” is bad for training a model. (a) False (b) True
36. 36.True or false: “new data for testing” is good for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
39. 39.🏷️ 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
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True

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