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13.11.2. Machine Learning and AI in IDF Curve Prediction
This section
Practice test
11 questions on this section. Wrong answers show you what to read again.
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Revision test
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 does Machine Learning do?
Hint
Think about how computers improve over time.
- 2.
Name one algorithm used in Machine Learning.
Hint
You learned of these in class discussions.
- 3.
What is Machine Learning primarily used for?
- Making predictions based on data
- Generating images
- Calculating averages
Hint
Remember the definition discussed in class.
- 4.
True or False: Dynamic updates are irrelevant in hydrological models.
- True
- False
Hint
Consider examples we went over in class.
- 5.
How would you implement a Neural Network to predict IDF curves given a dataset? Discuss architecture and input features.
Hint
Consider the types of data you need to input and how layers function in a network.
- 6.
Discuss the implications of using outdated IDF curves in urban areas prone to climate variability.
Hint
Reflect on what could happen if designs don't match current data.
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