Practice Challenges in Data Acquisition - 5.6 | 5. Data Acquisition | CBSE 10 AI (Artificial Intelleigence)
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Challenges in Data Acquisition

5.6 - Challenges in Data Acquisition

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is one common issue related to data quality?

💡 Hint: Consider what happens if some data points are missing.

Question 2 Easy

Why is it important to have consent when collecting data?

💡 Hint: Think about data privacy laws you've heard about.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a significant issue related to data acquisition?

Data Quality
Data Size
Data Medium

💡 Hint: Think about how the quality of data can lead to better outcomes.

Question 2

True or False: Ethical issues are irrelevant to data acquisition.

True
False

💡 Hint: What happens if you don't consider ethics in data gathering?

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

How would you approach building an AI model in a situation where the only available data is of questionable quality?

💡 Hint: What steps can you take to improve data before using it?

Challenge 2 Hard

Propose a comprehensive plan to address access limitations when seeking data for your AI project.

💡 Hint: Consider alternatives to paid datasets that might provide similar value.

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