Data, Learning and Modeling

Last Updated on January 6, 2017

There are key concepts in machine learning that lay the foundation for understanding the field.

In this post, you will learn the nomenclature (standard terms) that is used when describing data and datasets.

You will also learn the concepts and terms used to describe learning and modeling from data that will provide a valuable intuition for your journey through the field of machine learning.


Machine learning methods learn from examples. It is important to have good grasp of input data and the various terminology used when describing data. In this section, you will learn the terminology used in machine learning when referring to data.

When I think of data, I think of rows and columns, like a database table or an Excel spreadsheet. This is a traditional structure for data and is what is common in the field of machine learning. Other data like images, videos, and text, so-called unstructured data is not considered at this time.