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From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087

The Data Scientist Show - Daliana Liu

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Transition from Data Scientist to Engineering Manager

This chapter explores the journey of moving from a data scientist role to an engineering manager responsible for building machine learning tools. It discusses the shift in responsibilities towards developing tools for others, the rebranding of the company to support multiple languages, and the launch of the vetiver project to stabilize models. The chapter also covers the process of gathering user feedback for building an MLOps tool, emphasizing the importance of balancing performance metrics and statistical characteristics of models.

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