Understanding the challenges in developing machine learning solutions helps in choosing the software that allows you to face them in the easiest and most effective way. This chapter illustrates the software requirements and explains why we will use R.
Developing a machine learning solution consists of steps that have different requirements. In addition, the result of a step helps in improving the previous, so it's often necessary to come back to modify it.
Before facing a problem and building its machine learning solution, we want to know as much as possible about the challenge and the available resources. Effectively, it's very important to have all the possible information in order to define the right path to the solution. For this purpose, starting from the data, we extract business insights and patterns from the data using statistical and machine learning tools.
A simple example is a big supermarket that launches a new marketing campaign...