MLOps Engineering & Coding Best Practices with Maria Vechtomova #48
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Optimizing MLOps Through Best Practices
This chapter explores the evolution of MLOps methodologies, emphasizing the importance of using well-structured coding practices and tools over large Jupyter notebooks. The speakers recommend developing modular code, implementing CI/CD pipelines, and leveraging templates to streamline workflows and enhance code quality. Additionally, it discusses the foundational components and deployment strategies necessary for efficient machine learning model management.
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