Matrix
In Data Science and Artificial Intelligence, a matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. Matrices are used to represent and manipulate data in various mathematical operations such as linear transformations, system of linear equations, and eigenvalue problems. Matrices can also be used to represent graphs, networks, and other complex systems. In machine learning, matrices are used to represent datasets, where each row represents an observation and each column represents a feature. Matrices can be transformed using various operations such as transpose, inverse, and multiplication. Matrix factorization techniques such as Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) are widely used in data analysis and dimensionality reduction.
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