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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.
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.