Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 597 · 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) examples of every type (b) copies of one photo (c) blurry, unclear photos (d) testing on training data
2. 2.True or false: “many varied examples” is bad for training a model. (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) new data for testing (b) labels added at random (c) many varied examples (d) checking labels twice
4. 4.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
5. 5.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
6. 6.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) examples of every type (d) checking labels twice
7. 7.🏷️ 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
8. 8.True or false: “testing on training data” is bad for training a model. (a) False (b) True
9. 9.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
10. 10.True or false: “labels added at random” is bad for training a model. (a) False (b) True
11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
12. 12.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
13. 13.Which of these is good for training a model? (a) correct labels (b) very few examples (c) copies of one photo (d) labels added at random
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
15. 15.True or false: “wrong labels” is good for training a model. (a) False (b) True
16. 16.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
18. 18.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) only one kind of example (d) photos in many lights
19. 19.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
21. 21.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
22. 22.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) correct labels (d) copies of one photo
24. 24.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) copies of one photo (d) blurry, unclear photos
25. 25.True or false: “labels added at random” is good for training a model. (a) False (b) True
26. 26.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
27. 27.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) very few examples (d) blurry, unclear photos
28. 28.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) clear, sharp examples (d) checking labels twice
29. 29.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
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) spam (b) not spam
31. 31.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
32. 32.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
33. 33.Which of these is bad for training a model? (a) checking labels twice (b) wrong labels (c) many varied examples (d) clear, sharp examples
34. 34.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
35. 35.🏷️ 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
36. 36.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
37. 37.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
38. 38.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) only one kind of example (d) checking labels twice
39. 39.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training

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