Killer developer tools for machine learning
Practical AI
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Navigating the Divide Between DevOps and Data Ops
This chapter examines the contrasting perspectives of developers and data scientists in the context of machine learning projects. It emphasizes the challenges faced by data scientists in adapting to DevOps practices and the necessity of cross-training in both fields as AI technologies rise in importance.
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