Practice Unsupervised Learning In Pattern Discovery (32.2.2) - , AI-Driven Decision-Making in Civil Engineering Projects

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6 sample questions

Question 1.
Define unsupervised learning.
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Think about the types of data we see in engineering projects.
Question 2.
What is clustering?
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Recall how we group projects and their features.
3Question 3.
What does unsupervised learning aim to do?
- Identify patterns without labels
- Predict future outcomes
- Classify data into categories
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Consider what unsupervised means.
4Question 4.
Anomaly detection is used primarily for what purpose?
- True
- False
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Think about its importance in quality control.
Question 5.
Propose a method for using clustering to improve scheduling in a construction project.
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Think about dependencies and task lengths.
Question 6.
How could an anomaly detection system be structured in a real-time monitoring scenario?
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Consider sensor data and the type of anomalies that might occur.

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