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• Network Segmentation: Network Segmentation is the process of dividing a computer network into smaller subnetworks, each with its own security protocols and policies. This is done to improve network performance, reduce the risk of cyber attacks, and to make it ea ... Read More >>
• Spatial Variability: Spatial variability refers to the variation of a phenomenon over space. In data science, spatial variability is often analyzed using geostatistical methods, which involve the use of statistical models to describe the spatial autocorrelation ... Read More >>
• Sparse Matrix: In data science, a sparse matrix is a matrix in which most of the elements are zero. Sparse matrices are used to represent large datasets that have a lot of missing or irrelevant data. They are particularly useful in machine learning algori ... Read More >>