Creating machine learning models that work well is difficult enough because you need the right data, transformed in the right way, the right model, and the right hyperparameters for that model. But if you think that's difficult enough, deploying a machine learning model into an organization is even more challenging. That's because it's is both a technology problem and a business problem.
In this video, I explore the implications of deploying a machine learning model in has a quick case study in a beverage company.
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