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28min chapter
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Super Data Science: ML & AI Podcast with Jon Krohn
Navigating MLOps and Text Analysis
This chapter explores the essentials of monitoring machine learning models in production, differentiating between software and statistical metrics to mitigate silent failures. It intertwines data science with literature through discussions on the works of Jane Austen, demonstrating how literary analysis can enhance data projects. Additionally, the chapter highlights innovative approaches to natural language processing, including the re-evaluation of stop words and sentiment analysis, showcasing the team's recent projects and community contributions.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode