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Navigating MLOps: Bridging AI and Operations
This chapter explores the evolving landscape of MLOps, emphasizing its role in connecting machine learning research with practical applications. The discussion highlights the complexities and collaboration needed between data science and software engineering to successfully deploy machine learning models. It also addresses the misconceptions and challenges faced within the MLOps community, advocating for the importance of continuous improvement and clarity in practices.