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a) Discuss data ethics and privacy issues in big data with relevant real-life examples. (16.66 marks) b) Discuss definition of algorithmic bias and its underlying sources with relevant real-life examples. (16.67 marks).

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a) Discuss data ethics and privacy issues in big data with relevant real-life examples. (16.66 marks) b) Discuss definition of algorithmic bias and its underlying sources with relevant real-life examples. (16.67 marks)

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