Machine Learning Ops
Data Bytes
Evolution and Challenges in MLOps
The chapter explores the rise of MLOps within the data science realm, emphasizing the shift towards dedicated roles for deploying and maintaining models in production. Discussions include the importance of establishing standards, collaborating effectively between data scientists and MLOps teams, and addressing educational gaps within organizations. Additionally, the chapter touches on the daily responsibilities of MLOps engineers, transitioning to leadership roles in tech, and the need for diversity and sharing of resources in the field.
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