Importance of Machine Learning Engineering

This diagram highlights the importance of Machine Learning Engineering for Data/AI projects and the community. And it doesn’t even show one of my favorite topics: software design patterns, an outrageously important subject that helps with code maintainership, extensibility, standards, organization, beauty, which in turns help with (much) higher productivity of Data professionals.

Technical components around the machine learning code required to make a mature AI product

Diagram extracted from Hidden Technical Debt in Machine Learning Systems, by Google reaserchers, which also says that “a mature system might end up being (at most) 5% machine learning code and (at least) 95% glue code”.

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Also on my LinkedIn.

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