The shape of data : network science, geometry-based machine learning, and topological data analysis in R /

"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples using social network data, text data, medical data, and education data"--

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Farrelly, Colleen (Autor), Gaba, Yaé Ulrich (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco, CA : No Starch Press, [2023]
Temas:
Geometric programming.
Topology.
Machine learning.
System analysis > Data processing.
R (Computer program language)
Programmation géométrique.
Topologie.
Apprentissage automatique.
Analyse de systèmes > Informatique.
R (Langage de programmation)
Geometric programming
Machine learning
System analysis > Data processing
Topology
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Why geometry?
  • Introduction to network data
  • Network analysis
  • Beyond networks
  • Geometry in data science
  • Other applications of geometry in machine learning
  • Topological data analysis
  • Homotopy algorithms
  • Working with language
  • New approaches to computational solutions.

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