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Fundamentals of data science : theory and practice /

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining...

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Hlavní autoři: Kalita, Jugal Kumar (Autor), Bhattacharyya, Dhruba K. (Autor), Roy, Swarup (Computer scientist) (Autor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: London ; San Diego, CA : Academic Press, [2024]
Témata:
Big data.
Data mining.
Electronic data processing.
Information science.
Données volumineuses.
Exploration de données (Informatique)
Sciences de l'information.
Technologie de l'information.
information science.
information technology.
Big data
Data mining
Electronic data processing
Information science
On-line přístup:ScienceDirect
Tagy: Přidat tag
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Obsah:
  • 1 Introduction
  • 2 Data, sources, and generation
  • 3 Data preparation
  • 4 Machine learning
  • 5 Regression
  • 6 Classification
  • 7 Artificial neural networks
  • 8 Feature Selection
  • 9 Cluster analysis
  • 10 Ensemble learning
  • 11 Association-rule mining
  • Big data analysis
  • 13 Data science in practice
  • 14 Conclusion

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