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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is training data?
💡 Hint: It's what the AI learns from.
Question 2
Easy
Why is bias in AI bad?
💡 Hint: Think about fairness.
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 the significance of training data in AI?
- It decreases model bias
- It helps the model learn
- It guarantees success
💡 Hint: Think of what provides the AI with examples.
Question 2
True or False: AI models never need retraining.
- True
- False
💡 Hint: Consider updating technology.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Formulate and describe an experiment to test the accuracy of an AI model you've learned about.
💡 Hint: Focus on how you'd assess its performance.
Question 2
Discuss the potential ethical dilemmas that arise with bias in AI. Provide real-world examples for clarity.
💡 Hint: Think of how real-world consequences do emerge from AI biases.
Challenge and get performance evaluation