👉 In mathematics and statistics, sparsity is a property of matrices or vectors that indicates how much of their entries are non-zero. In other words, it measures how many times an entry in the matrix appears, rather than all entries being equal to zero. For example, consider a 3x3 matrix: ``` A = [1 0 0; 2 3 4; 5 6 7] ``` In this case, the sparsity of the matrix A
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What is the definition of Sparth? 🙋
👉 Sparsity, in statistics and machine learning, refers to a phenomenon where there are more observations with values less than a certain threshold compared to those with values greater than that threshold. This can be seen as an underestimation of the total number of elements or variables. In data science, it is often used when dealing with large datasets or when applying machine learning algorithms to handle high-dimensional inputs.
