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Mathematical Problems in Data Science

- Theoretical and Practical Methods

Bag om Mathematical Problems in Data Science

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 of big data, geometric data structures, topological data processing, and various learning methods.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319797397
  • Indbinding:
  • Paperback
  • Sideantal:
  • 213
  • Udgivet:
  • 14. marts 2019
  • Udgave:
  • 12015
  • Vægt:
  • 361 g.
  • BLACK WEEK
  På lager
Leveringstid: 2-15 hverdage
Forventet levering: 13. december 2024

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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 of big data, geometric data structures, topological data processing, and various learning methods.

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