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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define training data.
💡 Hint: What information is essential for AI learning?
Question 2
Easy
What does bias in AI lead to?
💡 Hint: Think about fairness and representation.
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 is training data in AI?
- Data used for evaluation
- Data used to teach the AI
- Data that is irrelevant
💡 Hint: Think about what data is foundational for AI learning.
Question 2
True or False: All AI models are completely unbiased.
- True
- False
💡 Hint: Consider how data representation varies.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Evaluate a case where AI failed due to biased training data. What steps should be taken to rectify this?
💡 Hint: Look into how biases can shift model outputs.
Question 2
Describe how you would design an AI model that minimizes bias from the start.
💡 Hint: Consider inclusivity in datasets.
Challenge and get performance evaluation