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Disrupting Drug Discovery and Development With AI

Data Science Leaders

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The Need for Frameworks, Standards, and Best Practices in Data Science

This chapter discusses the lack of frameworks in data science and highlights the need for standards and best practices. The speakers emphasize the significance of code reviews, checking for spurious correlations, and suggest the establishment of standards and training to hold data scientists accountable.

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