Graph-Powered Machine Learning /

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Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you'll master the architectures and design practices of graphs, and avoid common pi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Negro, Alessandro (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island : Manning Publications, [2021]
Temas:
Machine learning.
Machine learning > Graphic methods.
Graph theory.
Apprentissage automatique.
Apprentissage automatique > Méthodes graphiques.
Graph theory
Machine learning
Machine learning > Graphic methods
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. Machine learning and graphs : an introduction
  • 2. Graph data engineering
  • 3. Graphs in machine learning applications
  • 4. Content-based recommendations
  • 5. Collaborative filtering
  • 6. Session-based recommendations
  • 7. Context-aware and hybrid recommendations
  • 8. Basic approaches to graph-powered fraud detection
  • 9. Proximity-based algorithms
  • 10. Social metwork analysis against fraud
  • 11. Graph-based natural language processing
  • 12. Knowledge graphs.

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