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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a labelled dataset?
💡 Hint: Think about what is needed to train a model.
Question 2
Easy
Name one data challenge in AI.
💡 Hint: Consider what is necessary to teach an AI system.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What are the challenges related to data in AI implementation?
- High computational requirements
- Scarcity and inconsistency in datasets
- Interdisciplinary conflicts
💡 Hint: Think about data quality for AI systems.
Question 2
True or False: High computing power is not necessary for AI and ML applications.
- True
- False
💡 Hint: Consider what is needed to run deep learning models.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Evaluate how inadequate data can lead to safety failures in construction projects. Propose solutions to mitigate this risk.
💡 Hint: Consider realistic methods of gathering accurate data.
Question 2
Discuss the potential ethical ramifications of implementing biased AI systems in civil engineering. Provide examples and remedies.
💡 Hint: Think about real-life scenarios where bias could affect safety.
Challenge and get performance evaluation