Andere Kunden interessierten sich auch für
![Building Machine Learning Powered Applications]( "Building Machine Learning Powered Applications")
Building Machine Learning Powered Applications43,99 €![Machine Learning]( "Machine Learning")
Machine Learning81,99 €![Machine Learning For Dummies]( "Machine Learning For Dummies")
Machine Learning For Dummies23,99 €![Foundations of Machine Learning]( "Foundations of Machine Learning")
Foundations of Machine Learning86,99 €![Machine Learning for the Physical Sciences]( "Machine Learning for the Physical Sciences")
Machine Learning for the Physical Sciences82,99 €![Machine Learning in Translation]( "Machine Learning in Translation")
Machine Learning in Translation168,99 €![Machine Learning for Managers]( "Machine Learning for Managers")
Machine Learning for Managers43,99 €
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. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you'll 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 it's 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.