Transformation Matrix

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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.

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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.

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Margaret Rouse
Technology expert
Margaret Rouse
Technology expert

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.