32.2.2. Unsupervised Learning in Pattern Discovery

Try these first

1. 1.

   Define unsupervised learning.

   Hint

   Think about the types of data we see in engineering projects.

2. 2.

   What is clustering?

   Hint

   Recall how we group projects and their features.

3. 3.

   What does unsupervised learning aim to do?

   • Identify patterns without labels
   • Predict future outcomes
   • Classify data into categories

   Hint

   Consider what unsupervised means.

4. 4.

   Anomaly detection is used primarily for what purpose?

   • True
   • False

   Hint

   Think about its importance in quality control.

5. 5.

   Propose a method for using clustering to improve scheduling in a construction project.

   Hint

   Think about dependencies and task lengths.

6. 6.

   How could an anomaly detection system be structured in a real-time monitoring scenario?

   Hint

   Consider sensor data and the type of anomalies that might occur.