Case Study

Making Sense of Deployment: Feature Engineering, Training, Testing and Monitoring

Making Sense of Deployment: Feature Engineering, Training, Testing and Monitoring

Pages 29 Pages

3 Deploying Your Data - Feature Engineering, Training, and Monitoring Congratulations! You’ve spent a considerable amount of time working on getting your data just right and now you’re ready to leave that step behind and focus on your machine learning (ML) models. Well, yes and no. You are definitely ready to start focusing on your models and getting insights, but that doesn’t mean you’re done with data. Far from it, actually. Building your dataset, cleaning it, and enriching it is an important step in the data workflow, and the steps that follow would be near impossible without it. However, now it’s time to shi" gears regarding how we approach data, and what we’re doing with it. Once you’ve finished building your new, unified dataset, it’s time to actually start mining it f

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