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6.  What are rule-based AI and learning-based AI?

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                      7.  What happens during the evaluation stage of an AI project?

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                      8.  Explain the term Modelling.

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                      9.  Why is visualising data important when working with AI projects in real life?
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                    10.  What could happen if the problem scoping stage is skipped or done poorly in an AI project?

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                    11.  Explain the role of feedback in improving AI systems.

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                    12.  Why is it important to evaluate an AI model before using it in real life? Give an example.
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