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#65 Preventing Fraud in eCommerce with Data Science

DataFramed

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Bridging Data Science and Engineering

This chapter explores the critical collaboration between data scientists and engineers in operationalizing data science models. It addresses the balance between specialized roles and integrated approaches, emphasizing data quality and stakeholder engagement as key to successful initiatives. The discussion also highlights the importance of data literacy and effective communication in fostering a culture of data-driven decision-making within organizations.

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