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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define Data Acquisition in your own words.
💡 Hint: Think about why data is needed in AI.
Question 2
Easy
What is structured data? Give an example.
💡 Hint: Think of formats like Excel spreadsheets.
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 the primary purpose of Data Acquisition in AI?
💡 Hint: Think about what data is used for in AI.
Question 2
True or False: Unstructured data is always easy to analyze.
💡 Hint: Consider the requirements for preparing different data types.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
How would you improve data quality in an AI project that relies on surveys?
💡 Hint: Consider how to catch errors in collected responses.
Question 2
Design a small project utilizing at least two types of data (structured and unstructured). Describe your method from acquisition to preprocessing.
💡 Hint: Think about how each data type contributes to your insights.
Challenge and get performance evaluation