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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Data Acquisition.
💡 Hint: Think about what is essential for training AI.
Question 2
Easy
What are the two types of data and how do they differ?
💡 Hint: Consider how data organization affects usage.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is Data Acquisition?
💡 Hint: Think about the steps in preparing data for AI.
Question 2
Structured data is organized in a ____ format.
💡 Hint: What is the common way to organize data that can be easily analyzed?
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You are tasked with gathering data for a new AI project. Describe the steps you would take to ensure both the data's quality and ethical considerations are met.
💡 Hint: Start by outlining what type of data you need and the method of collection.
Question 2
You found a dataset online that looks good but lacks a method to verify its origin. What measures should you take to evaluate the dataset before using it in your AI models?
💡 Hint: Consider what questions you need answered before trusting an external dataset.
Challenge and get performance evaluation