Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 354 · 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) only one kind of example (b) new data for testing (c) clear, sharp examples (d) examples of every type
2. 2.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) correct labels (d) photos in many lights
3. 3.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
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) spam (b) not spam
5. 5.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
6. 6.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) correct labels (d) labels added at random
7. 7.🏷️ 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
8. 8.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) labels added at random (d) only one kind of example
9. 9.True or false: “very few examples” is good for training a model. (a) False (b) True
10. 10.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) examples of every type (d) clear, sharp examples
12. 12.Which of these is good for training a model? (a) photos in many lights (b) only one kind of example (c) very few examples (d) testing on training data
13. 13.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) many varied examples (d) wrong labels
14. 14.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) labels added at random (d) photos in many lights
15. 15.🏷️ 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
16. 16.🏷️ 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
17. 17.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) very few examples
18. 18.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
19. 19.🐶 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) a song about dogs (d) many labelled photos
20. 20.True or false: “new data for testing” is good for training a model. (a) True (b) False
21. 21.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
22. 22.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
23. 23.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
24. 24.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) very few examples (d) new data for testing
25. 25.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
26. 26.True or false: “photos in many lights” is good for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
28. 28.True or false: “many varied examples” is bad for training a model. (a) True (b) False
29. 29.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
30. 30.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
31. 31.🏷️ 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
32. 32.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) photos in many lights (d) wrong labels
33. 33.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
34. 34.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
35. 35.🔍 Which is the odd one out? (a) many varied examples (b) testing on training data (c) very few examples (d) copies of one photo
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: “correct labels” is bad for training a model. (a) True (b) False
38. 38.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) many varied examples (d) correct labels
40. 40.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training

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