Graph-Powered Machine Learning (Paperback)

Alessandro Negro

8 valoraciones de Goodreads

Idioma: inglés

Editorial: Manning Publications, New York, 2021

1617295647 / 9781617295645

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Paperback. At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. Youll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, youll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features The lifecycle of a machine learning project Three end-to-end applications Graphs in big data platforms Data source modeling Natural language processing, recommendations, and relevant search Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where its important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

N° de ref. del artículo 9781617295645

Título
Graph-Powered Machine Learning (Paperback)
Autor
Alessandro Negro
Editorial
Manning Publications, New York
Año de publicación
2021
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
1617295647
ISBN 13
9781617295645

AussieBookSeller

Truganina, VIC, Australia

Vendedor de 5 estrellas

Vendedor de IberLibro desde 22 de junio de 2007

Tarifas de envío de Australia a Estados Unidos de America

ArtículoDe 25 a 45 días hábilesDe 8 a 14 días hábiles
Primer artículoEUR 33,05EUR 39,30
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