#67 Operationalizing Machine Learning with MLOps
DataFramed
00:00
Navigating MLOps in Machine Learning
This chapter delves into the significance of MLOps in the deployment of machine learning models, juxtaposed with traditional DevOps practices. It discusses the evolving roles and responsibilities in machine learning operations, emphasizing the need for tailored tooling and cultural shifts within organizations. The chapter highlights key principles such as reproducibility and transparency, advocating for an early start in the MLOps journey to enhance successful applications.
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