Page 55 - Ai V2.0 Flipbook C8
P. 55

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                 Answer the following questions:
                     1.  Why is visualising data important when working with AI projects in real life?

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                     2.  What could happen if the problem scoping stage is skipped or done poorly in an AI project?

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                     3.  Explain the role of feedback in improving AI systems.
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                     4.  Why is it important to evaluate an AI model before using it in real life? Give an example.

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                     5.  Why is collecting good quality data important for AI systems?

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