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Mathematical Problems in Data Science - Li M. Chen - Bog

- 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:
  • 9783319251257
  • Indbinding:
  • Hardback
  • Sideantal:
  • 213
  • Udgivet:
  • 16. december 2015
  • Udgave:
  • 12015
  • Størrelse:
  • 165x245x19 mm.
  • Vægt:
  • 534 g.
  • 2-3 uger.
  • 9. december 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af 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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