2.2.4 - Considerations
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is data relevance?
💡 Hint: Think about why specific data matters to the project.
Why is data accuracy important?
💡 Hint: Consider the consequences of inaccurate data.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is data relevance?
💡 Hint: Think about how data applies to specific AI projects.
True or False: Ethical considerations are optional in data acquisition for AI.
💡 Hint: Remember the importance of ethics in data handling.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Analyze the implications of using outdated data versus current data in a predictive model.
💡 Hint: Consider how changes in data trends affect predictions.
Propose a framework for ensuring ethical data collection in an AI project.
💡 Hint: Think about the entire lifecycle of data use from collection to application.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.