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20min chapter
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Tidy Data and AI in Data Science
This chapter focuses on the principles of tidy data and its importance in effective data management and analysis. It discusses the tidyverse and tidy models within R, addressing best practices and challenges in data science, including the impact of AI tools on coding education. Engaging examples like Simpson's paradox and a healthcare data scientist's query illustrate the practical implications of these concepts in real-world applications.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode