The Data Science Design Manual /

The Data Science Design Manual /

Detalles Bibliográficos
Autor principal: Skiena, Steven S. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:1st ed. 2017.
Colección:Texts in Computer Science,
Materias:
Data mining.
Pattern recognition.
Big data.
Mathematics.
Visualization.
Statistics .
Data Mining and Knowledge Discovery.
Pattern Recognition.
Big Data/Analytics.
Statistics and Computing/Statistics Programs.
Tabla de Contenidos:
  • What is Data Science?
  • Mathematical Preliminaries
  • Data Munging
  • Scores and Rankings
  • Statistical Analysis
  • Visualizing Data
  • Mathematical Models
  • Linear Algebra
  • Linear and Logistic Regression
  • Distance and Network Methods
  • Machine Learning
  • Big Data: Achieving Scale.

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