Practice AI-Based Decision-Making Models - 32.2 | 32, AI-Driven Decision-Making in Civil Engineering Projects | Robotics and Automation - Vol 3
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AI-Based Decision-Making Models

32.2 - AI-Based Decision-Making Models

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is supervised learning?

💡 Hint: Think about how labels help guide learning.

Question 2 Easy

What does clustering do?

💡 Hint: Consider how we find commonalities.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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.

Question 2

True or False: Unsupervised learning requires labeled data.

True
False

💡 Hint: Remember if labels are present or not in unsupervised learning.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider how predicting costs avoids financial pitfalls.

Challenge 2 Hard

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.

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