✍️ Building ML Teams and Platforms with Assaf Pinhasi
The MLOps Podcast
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The Core Tenets of Machine Learning and Production
The more common problem is analysis paralysis where you don't choose anything because you're not sure if the solution is perfect. The activities that machine learning teams need to be involved in tend to be kind of a very abstract level. Investing as a team in building data assets that contain valuable signals over time. Be able to constantly grow your data to have more signal in it. And then, yeah, I mean, these are the kind of tenants that I see like be able to understand quickly where your model is not doing well enough.
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