Bridging Data Science
Exploring the intersection of software engineering and data science reveals significant differences, particularly in terms of uncertainty and data quality. Iñigo highlights how existing methodologies from the software realm can be adapted to enhance data science projects. With a review of nearly 20 methodologies, he emphasizes the importance of tailoring approaches based on whether the focus is industrial or academic.In this clip
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Data Skeptic
A Survey of Data Science Methodologies
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