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Shriyansh IOT

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  1. Explain the use of PCA (Principal Component Analysis) in dimensionality reduction.

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  2. Explain Python decorators briefly.

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  3. Top use cases of generative AI in healthcare

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  4. How is firmware important in medical devices?

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  5. Define ETL in data processing.

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  6. How does anomaly detection improve fraud detection models?

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  7. How does generative AI create realistic digital content?

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  8. What are large language models (LLMs)?

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  9. How does big data drive decisions?

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  10. What are the key features of a good data analytics dashboard?

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  11. SQL vs NoSQL – Which suits analytics better?

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  12. How does Python simplify data analysis and machine learning?

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  13. Tools for data analytics?

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  14. How does power management work in embedded systems?

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  15. How do interrupts work in embedded systems?

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  16. What are the key differences between rule-based and neural network-based generative AI?

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  17. \How does a transformer model work in Generative AI?

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  18. How does prompt engineering affect the output quality of generative AI models like GPT-4 and DALL·E?

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  19. How does PCA help in feature reduction, and what are its limitations?

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  20. What is overfitting in machine learning?

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