How to solve Machine Learning problems for production? (Part 2)

In the first part, I described the context of how academic and industrial problem solving differ. The primary differences are the timeline of the solution and the complexity. When you prepare to solve a problem that will be part of a product, you can expe… Read more

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Scaling Machine Learning

Deploying machine learning models in a repeatable, scalable manner requires an understanding that the algorithms and techniques that underpin models are rapidly evolving and are managed differently... (more…)

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