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• Lower-dimensional Representation: Lower-dimensional representation refers to the process of reducing the number of dimensions in a dataset while retaining as much of the original information as possible. This is achieved through techniques such as Principal Component Analys ... Read More >>
• Data Mining: Data Mining is the process of discovering patterns and knowledge from large amounts of data. It involves the use of various statistical and machine learning techniques to extract insights from data. The goal of data mining is to uncover hid ... Read More >>
• Eigenvalue Problems: Eigenvalue problems are mathematical problems that involve finding the eigenvalues and eigenvectors of a given matrix. In data science and artificial intelligence, eigenvalue problems are used in various applications such as principal compo ... Read More >>