Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 346 · 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) blurry, unclear photos (c) examples of every type (d) only one kind of example
2. 2.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) new data for testing (d) labels added at random
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
4. 4.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) examples of every type (d) many varied examples
5. 5.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) testing on training data (d) many varied examples
6. 6.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
7. 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
8. 8.🏷️ 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
9. 9.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) examples of every type (d) only one kind of example
10. 10.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
11. 11.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
12. 12.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
14. 14.🏷️ 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
15. 15.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) only one kind of example (d) clear, sharp examples
16. 16.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
18. 18.True or false: “only one kind of example” is good for training a model. (a) True (b) False
19. 19.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
20. 20.Which of these is good for training a model? (a) only one kind of example (b) many varied examples (c) very few examples (d) testing on training data
21. 21.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
22. 22.True or false: “photos in many lights” is good for training a model. (a) False (b) True
23. 23.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
25. 25.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) labels added at random (d) photos in many lights
26. 26.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
27. 27.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) very few examples (d) clear, sharp examples
28. 28.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) many varied examples (d) photos in many lights
29. 29.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
30. 30.🏷️ 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
31. 31.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) very few examples (d) checking labels twice
32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
33. 33.Which of these is bad for training a model? (a) new data for testing (b) blurry, unclear photos (c) many varied examples (d) checking labels twice
34. 34.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
35. 35.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) examples of every type (d) labels added at random
36. 36.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
38. 38.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
39. 39.🏷️ 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
40. 40.🏷️ 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

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