Practice Data Collection (14.2) - Revisiting AI Project Cycle, Data - CBSE 10 AI (Artificial Intelleigence)

Practice: Data Collection

Lesson 14.2Revisiting AI Project Cycle, Data

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10 questions

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6 sample questions

Question 1.
What is Data Collection?
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Think about what you need to build an AI model.
Question 2.
Name two types of data.
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Think about how data is organized.
3Question 3.
What is the primary benefit of collecting quality data in AI projects?
- To save time
- To improve accuracy
- To reduce costs
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Think about how accuracy affects outcomes.
4Question 4.
True or False: Unstructured data is organized in predefined formats.
- True
- False
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Recall the definition of unstructured data.
Question 5.
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.
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Think about data processing techniques for analyzing text.
Question 6.
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?
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Reflect on the process of designing and executing a survey.

6 more questions in this section. Enroll free to practise them all.