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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data?
💡 Hint: Think about the different types of information we collect.
Question 2
Easy
Name one automated system that uses AI.
💡 Hint: Think about virtual assistants that respond to voice commands.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Why is data important for AI?
💡 Hint: Think about what it means for AI to 'learn'.
Question 2
True or False: Accurate data leads to inaccurate predictions.
💡 Hint: Consider what happens when predictions are based on correct data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a scenario where biased data leads to poor AI predictions. Discuss the potential consequences and ethical considerations.
💡 Hint: Consider real-world examples of biased AI outcomes.
Question 2
Design a data collection strategy for a new app that aims to improve user engagement. What type of data would be essential?
💡 Hint: Identify what data would help understand user behavior best.
Challenge and get performance evaluation