
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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Navigating Machine Learning and Software Engineering
This chapter explores the similarities between machine learning pipelines and traditional software development processes, with a focus on CI/CD practices. It addresses the challenges of ensuring production readiness in ML systems, emphasizing the need for robust testing, quality measurement, and effective collaboration among teams.
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