Blog
We’ll cover the awkward bits of using a ML model to make realtime decisions. We’ll walk through a framework to standardize how you experiment, build, package, maintain, re-train and deploy your model into a production environment. You’ll learn how to do all this in a way that scales well, and (probably) won’t break your product.
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