Training and Building Production Models

As we enter the last section of the book, this chapter provides an overview of using machine learning in a production environment. At this point in the book, you have learned the various algorithms that ML.NET provides, and you have created a set of three production applications. With all of this knowledge garnered, your first thought will probably be: how can I immediately create the next killer machine learning app? Prior to jumping right into answering that question, this chapter will help to prepare you for those next steps in that journey. As discussed and utilized in previous chapters, there are three major components of training a model: feature engineering, sample gathering, and creating a training pipeline. In this chapter we will focus on those three components, expanding your thought process for how to succeed in creating a production...