Название: Graph Algorithms for Data Science Автор: Tomaz Bratanic Издательство: Manning Publications Год: 2022 MEAP V4 Формат: True PDF Страниц: 166 Размер: 10 Mb Язык: English
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. You’ll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.
Advanced Algorithms and Data Structures Название: Advanced Algorithms and Data Structures Автор: Marcello La Rocca Издательство: Manning Publications Год: 2021 Формат: True PDF Страниц: 769...
Algorithms on Trees and Graphs Автор: Gabriel Valiente Название: Algorithms on Trees and Graphs Издательство: Springer Год: 2010 ISBN: 9783642078095 Язык: English Формат: pdf...
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Graph Algorithms for Data Science (MEAP) 
