Graph-Powered Machine Learning /

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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Bibliographic Details
Main Author: Negro, Alessandro (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Manning Publications, 2021.
Edition:1st edition.
Subjects:
Online Access:Connect to this electronic resource
Description
Summary: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.
Item Description:Electronic resource.
Physical Description:1 online resource (496 pages)
Format:Mode of access: World Wide Web.