Algorithms for Data Science

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But pra...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Steele, Brian (Autor), Chandler, John (Autor), Reddy, Swarna (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Data mining.
Mathematical statistics-Data processing.
Computer science-Mathematics.
Medical informatics.
Data Mining and Knowledge Discovery.
Statistics and Computing.
Mathematics of Computing.
Health Informatics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Data Mapping and Data Dictionaries
  • Scalable Algorithms and Associative Statistics
  • Hadoop and MapReduce
  • Data Visualization
  • Linear Regression Methods
  • Healthcare Analytics
  • Cluster Analysis
  • k-Nearest Neighbor Prediction Functions
  • The Multinomial Naive Bayes Prediction Function
  • Forecasting
  • Real-time Analytics.

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