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Elsevier Applied Graph Data Science - Algorithms, Knowledge Graphs & Neural Networks

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£125.28 £122.54 £123.14 £123.74 £124.33 £124.93 £125.53 27 July 2026 10 August 2026 25 August 2026 09 September 2026 24 September 2026
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Description

Applied Graph Data Science by Morgan Kaufmann explores how graph data science transforms modern data science applications. This comprehensive guide covers graph algorithms, platforms, knowledge graphs, and neural networks with detailed practical research and real-world use cases. Readers gain expertise in graph analytics, databases, and programming paradigms across diverse research topics and applications. The book bridges theoretical foundations and applied implementations, showing how graphs function as powerful programming languages for solving complex data science challenges. Ideal for professionals seeking to master graph-based approaches in enterprise environments and research settings.

Key Features

Covers graph algorithms and platforms essential for implementing graph data science solutions in production environments.

Explores knowledge graphs and their construction, demonstrating practical applications across industries and research domains.

Includes neural networks and deep learning techniques applied to graph structures for advanced analytical capabilities.

Presents real-world use cases illustrating how organisations leverage graph data science for solving complex business problems.

Provides comprehensive coverage of graph databases and analytics tools used in modern data science practice.

Morgan Kaufmann publisher ensures technical accuracy and rigorous treatment of graph programming paradigms.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 February 2025
Listed Since
12 June 2024

Barcode

No barcode data available

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