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)
Descripción
Sumario: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 pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks.
Descripción Física:1 online resource (496 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781638353935
163835393X
1617295647
9781617295645

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