£122.79

Morgan Kaufmann Applied Graph Data Science Book

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Description

Master the complexities of modern data structures with Applied Graph Data Science by Morgan Kaufmann. This comprehensive resource covers essential topics including graph algorithms, platforms, and knowledge graphs. It is designed for those looking to understand the practical application of neural networks and real-world use cases within the field of data science. This book serves as a deep dive into how graph-based technologies function and how they can be implemented to solve complex problems. Whether you are studying graph algorithms or exploring how neural networks interact with structured data, this text provides the foundational knowledge needed to navigate the evolving landscape of data science. By focusing on applied use cases, the material helps bridge the gap between theoretical concepts and practical implementation in professional environments.

Key Features

Comprehensive coverage of graph algorithms and various data platforms.

Detailed exploration of knowledge graphs and their practical applications.

In-depth look at the integration of neural networks within graph science.

Focus on applied use cases to help connect theory with real-world scenarios.

Educational resource published by Morgan Kaufmann for professional learning.

Product Specifications

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

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No barcode data available

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