Hien Luu on ML Principles at DoorDash
The InfoQ Podcast
The Engineering Mentality in Machine Learning
There's no way of treating ML artifacts as code until the whole MLOps discipline has been kind of codified or formalized in the last few years. So it's really also a bit of getting the discipline, getting more structure maybe. The number one thing I would say is about the engineering mentality that was not there in order to productionize machine learning models. This scientist might build a model and then just throw it a wall, for example. And there's no reproducibility, right?
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