Page 55 - Ai V2.0 Flipbook C8
P. 55
Ready 2
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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AI Ready 53

