Applied Data Science
Julia shares her passion for understanding real-world workflows and the systems behind problem-solving in data science. She emphasizes the importance of applied work, connecting various fields from text analysis to MLOps. The discussion also touches on the tidyverse and tidy models, highlighting their relevance in practical applications. Engaging questions from the audience further enrich the conversation.In this clip
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