Matrices
In data science and artificial intelligence, matrices are rectangular arrays 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 be added, subtracted, multiplied, and transposed to obtain useful information about the data. They are also used in machine learning algorithms such as principal component analysis (PCA), singular value decomposition (SVD), and deep learning. Matrices are an essential tool in data science and artificial intelligence for data preprocessing, feature extraction, and model training.
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