Data Glossary Lab

It is a modern dimensionality reduction algorithm used extensively in Machine Learning. Its primary function is to take high-dimensional data, meaning data with a massive number of features or columns, and project it into a new, lower-dimensional space, typically two or three dimensions.

Unstructured data refers to information that does not conform to a pre-defined data model and is not organized in a predefined manner. It lacks a specific structural format, such as the tables, rows, or columns found in traditional databases.

Underfitting is a modeling error where the model is too simple to capture the underlying data patterns.

A type of machine learning where the model learns patterns in data without labeled outcomes.