Intelligent Techniques for Data Science

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Akerkar, Rajendra (Autor), Sajja, Priti Srinivas (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.
Artificial intelligence.
Knowledge management.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Knowledge Management.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • Introduction
  • Data Analytics
  • Basic Learning Algorithms
  • Fuzzy Logic
  • Artificial Neural Networks
  • Genetic Algorithms and Evolutionary Computing
  • Other Metaheuristics and Classification Approaches
  • Analytics and Big Data
  • Data Analytics Using R
  • Appendix I: Tools for Data Science
  • Appendix II: Tools for Computational Intelligence.

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