
Sparse Matrix Representation
Sparse Matrix Representation is a method used in Data Science and Artificial Intelligence to efficiently store and manipulate matrices that have a large number of zero values. In this method, only the non-zero values of the matrix are stored along with their corresponding row and column indices. This reduces the amount of memory required to store the matrix and speeds up operations such as matrix multiplication and inversion. Sparse Matrix Representation is commonly used in applications such as image processing, natural language processing, and recommendation systems.
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