Exploring the machine learning process
In this chapter, we will begin by describing the problem that we will solve throughout the book. We aim to focus on machine learning in the context of stock trading.
Machine learning can be defined as the process of training a software artifact – in this case, a model to make relevant predictions in a problem. Predictions are used to drive business decisions, for instance, which stock should be bought or sold or whether a picture contains a cat or not.
Having a standard approach to a machine learning project is critical for a successful project. The typical iteration of a machine learning life cycle is depicted in Figure 2.1:
Figure 2.1 – Excerpt of the acquired data with the prediction column
Let's examine each stage in detail:
- Ideation: This phase involves identifying a business opportunity to use machine learning and formulating the problem.
- Prototyping: This involves verifying...
