Orchestrating Machine Learning Workflows

This chapter explores the complexities and challenges of executing computing tasks within workflow management systems, particularly for machine learning. It discusses new perspectives on task execution and emphasizes the need for seamless integration of various job types while highlighting design considerations for enhanced functionality. Additionally, the chapter examines the interplay between automation and human intervention, alongside advancements in data visualization and the deployment of machine learning models.

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