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.
0 Comments