Mathematical Problems in Data Science

Mathematical Problems in Data Science

Theoretical and Practical Methods

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This book describes current problems in data science and Big Data.

Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types ofbig data, geometric data structures, to.

First published
Dec 16, 2015
Publishers
Springer

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