In this chapter, we defined the idea of database and data classification using some examples that a data developer may find familiar. Next, we introduced statistical data classification and compared that concept with the former.

Classification guidelines were offered along with several important, relevant terms.

Finally, we spoke of support vector machines, how they work, and the advantages they offer the data scientist.

In the next chapter, we aim to provide an explanation of the types of machine learning and illustrate to the developer how to use machine learning processes to understand database mappings and identify patterns within the data.

Get Statistics for Data Science now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.