Discussing applications of ML in theory is much different than actually applying ML models at scale in production. Here's the four biggest challenges ML and data teams face and how to solve them. (more…)
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Microsoft recently debuted a new iOS app called "Sprinkles - Camera with Fun Ideas" [Direct Link], which launches alongside the recent... (more…)
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This quickstart will teach us the basics on how to get up and running with MachineLabs. We’ll be creating our first lab and use Keras with TensorFlow and the MNIST dataset, to train a simple model to learn how to recognize hand-written digits. (more…)
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How you make machine learning transparent to users is one of the great design challenges of our time—but a necessary one.
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Microservices have many benefits, helping ML teams is not one of them. This article breaks down why microservices hinder ML efforts. It explains how a feature store like StreamSQL enables ML teams to move faster. (more…)
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