The Rise of ML Engineering

I fundamentally believe that 2019 will be the year of ML Engineering.

This article is spot on. It also pokes at one of my favorite frustrations curating this newsletter:

nobody needs yet another library or tutorial to build a 3-layer neural network on MNIST

Yes! Too much attention to model-building, which ends up only being about 10-20% of the time spent in the actual job. Instead, it's time for the industry to focus on the things that will return business value: tooling, infrastructure, and best practices for creating ML pipelines.


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