Julia for Data Science

Machine learning – the process

Machine learning algorithms are trained in keeping with the idea of how the human brain works. They are somewhat similar. Let's discuss the whole process.

The machine learning process can be described in three steps:

1. Input
2. Abstraction
3. Generalization

These three steps are the core of how the machine learning algorithm works. Although the algorithm may or may not be divided or represented in such a way, this explains the overall approach:

1. The first step concentrates on what data should be there and what shouldn't. On the basis of that, it gathers, stores, and cleans the data as per the requirements.
2. The second step entails the data being translated to represent the bigger class of data. This is required as we cannot capture ...