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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Data Collection?
💡 Hint: Think about what you need to build an AI model.
Question 2
Easy
Name two types of data.
💡 Hint: Think about how data is organized.
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 benefit of collecting quality data in AI projects?
💡 Hint: Think about how accuracy affects outcomes.
Question 2
True or False: Unstructured data is organized in predefined formats.
💡 Hint: Recall the definition of unstructured data.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You are working on an AI project that requires customer feedback analysis using social media posts, which are unstructured data. Describe how you would approach this task and the quality considerations to keep in mind.
💡 Hint: Think about data processing techniques for analyzing text.
Question 2
Consider a scenario where you are tasked with creating a survey for your AI model. What steps must you take to ensure the data collected is of high quality and ethically sourced?
💡 Hint: Reflect on the process of designing and executing a survey.
Challenge and get performance evaluation