Todd Underwood - On lessons from running ML systems at Google for a decade, what it takes to be a ML SRE, challenges with generalized ML platforms and much more - #10
Software Misadventures
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Intro
This chapter explores the complexities of implementing machine learning systems in software engineering, emphasizing the need for distributed computing knowledge and diverse engineering skills. It reassures engineers of all backgrounds that practical experience is crucial for successful deployment of ML in production settings.
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