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23.10.3. Machine Learning Models
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Mixed questions from across the chapter. Your answers get marked.
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Flashcard drill
3 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is machine learning?
Hint
Think of how computers can learn from data.
- 2.
Name one data type used in machine learning for seismic predictions.
Hint
What do we measure during an earthquake?
- 3.
What is one primary function of machine learning models in seismic activity?
- To create new earthquakes
- To predict future seismic events
- To eliminate earthquakes
Hint
Think about what prediction means.
- 4.
True or False: Machine learning models can accurately predict all earthquakes.
- True
- False
Hint
Consider the unpredictability of nature.
- 5.
If you were to develop a machine learning model for earthquake prediction, which three types of data would you prioritize and why?
Hint
Think about what kinds of data you would trust to inform your predictions.
- 6.
Describe a scenario where a machine learning prediction might fail. What could be done to mitigate such risks in future applications?
Hint
Consider what surprises nature can throw at us.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
1 more question available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting