What is model deployment?
After you’ve spent weeks to months working on your custom model, from optimizing the datasets to the distributed training environment, evaluating it, and reducing bias, you must be hungry to finally release it to your customers! In this entire section of the book, we’ll focus on all the key topics related to model deployment. But first, let’s try to explain the term itself.
Model deployment refers to integrating your model into an application. It means that beyond using your model for local analysis in a notebook, or for running reports, you connect it to other software applications. Most commonly, you’re integrating that model into an application. This application could be simply an analytics dashboard. It might be a fraud detection system, a natural language chat, a general search, an autonomous vehicle, or even a video game. In the next chapter, we’ll provide even more ideas for use cases across organizations, especially...