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Navigating MLOps Tools and Pipelines
This chapter explores various tools and platforms for building machine learning pipelines, emphasizing the role of Databricks, AWS SageMaker, and Airflow. The discussion includes the evolution of relationships between data scientists and DevOps teams, highlighting the importance of containerization and the current trends in MLOps.