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Data Analysis and Related Applications, Volume 5
Data Analysis and Related Applications, Volume 5
Knygos.lt klubas Knygos.lt nariams
223,01 €
-30%
Įprastai
318,59 €
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This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been divided into appropriate sections…
  • Leidėjas:
  • ISBN-10: 183669041X
  • ISBN-13: 9781836690412
  • Formatas: 15.6 x 23.4 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

Data Analysis and Related Applications, Volume 5 (el. knyga) (skaityta knyga) | knygos.lt

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This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics.

Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

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  • Leidėjas:
  • ISBN-10: 183669041X
  • ISBN-13: 9781836690412
  • Formatas: 15.6 x 23.4 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

This book is a collective work by several leading scientists, analysts, engineers, mathematicians and statisticians, who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics.

Data Analysis and Related Applications 5 represents a cross-section of current concerns and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

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