Transformation Matrix

What Does Transformation Matrix Mean?

A transformation matrix is a matrix that represents a linear transformation in linear algebra. These have specific applications to the world of computer programming and machine learning.


Techopedia Explains Transformation Matrix

The ability of a transformation matrix to map a linear algebra function is useful in machine learning. For example, linear algebra can be useful with tabular data sets, or in deep learning or natural language processing, or other specialized fields.

Linear algebra can be helpful in image processing, regularization, singular value decomposition, or latent semantic analysis.

The transformation matrix represents one of a number of matrix models that takes complex corresponding information and puts it into a digestible form, in terms of both data storage and data display.


Related Terms

Latest Data Science Terms

Related Reading

Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…