According to its definition, ML is an application of AI that provides systems with the ability to learn and improve on their own, from experience, and not by being explicitly programmed.
Here is the classic ML process. It's when you try to predict an answer based on answers from previous experience:
Let's go through the preceding diagram in detail:
- Define a question: ML is not a magic box. To get an answer, you should know the question, and you should build a model that will answer that exact question.
Remember: the exact question is the key to the right answer!
- Find data: You should find data that will answer your question. The data, which, in (ML) terminology, is usually called a dataset, should be relevant, complete, exact, and sufficient. In this chapter, we will use Dynamics 365 Business Central as...