32.2. AI-Based Decision-Making Models

Try these first

1. 1.

   What is supervised learning?

   Hint

   Think about how labels help guide learning.

2. 2.

   What does clustering do?

   Hint

   Consider how we find commonalities.

3. 3.

   What is the main purpose of supervised learning?

   • To discover patterns
   • To predict outcomes
   • To cluster data

   Hint

   Think about the labels guiding what the model learns.

4. 4.

   True or False: Unsupervised learning requires labeled data.

   • True
   • False

   Hint

   Remember if labels are present or not in unsupervised learning.

5. 5.

   Evaluate the impact of using regression models on the budgeting process of a mega construction project.

   Hint

   Consider how predicting costs avoids financial pitfalls.

6. 6.

   Design an experiment using unsupervised learning to enhance quality control in a construction site. What data would you collect?

   Hint

   Think of variables that could affect project outcome or quality.