Demand for data scientists and machine learning engineers has exploded. There are plenty of programs that teach emerging technical skills, but Enigma senior data scientist Dillon Gardner points out that there’s a gap in learning how to apply those skills in real-world business settings.
In his recent conference session at PyData Global London 2022, “AUC is Worthless: Lessons in Transitioning from Academic to Business Data Science,” Dillon walks through an example of how a better understanding of business can lead to better data science outcomes.
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