So far, all the chapters of this book have been dedicated to showing how to gather, transform, and statistically summarize data from a wide range of sources using different technologies. In this chapter, we are going to learn how to prepare SQL Server as an environment for predictive modeling. We're also going to look at how to create database structures and modules that are useful for efficient predictive model training. We will go through the following topics:
- Preparing SQL Server: The first section of this chapter will show you how to configure the machine learning services of SQL Server and how to prepare them for custom packages
- Creating data structures: The second section of this chapter will demonstrate how to create database objects that are used to create, train, and maintain machine learning models
- Creating and evaluating...
