Verfasst von: | Farrelly, Colleen M. [VerfasserIn]  |
| Mutombo, Franck Kalala [VerfasserIn]  |
Titel: | Modern graph theory algorithms with Python |
Titelzusatz: | harness the power of graph algorithms and real-world network applications using Python |
Mitwirkende: | Giske, Michael [VerfasserIn eines Vorworts]  |
Verf.angabe: | Colleen M. Farrelly, Franck Kalala Mutombo |
Verlagsort: | Birmingham |
Verlag: | Packt |
E-Jahr: | 2024 |
Jahr: | June 2024 |
Umfang: | xx, 269 Seiten |
Illustrationen: | Illustrationen, Diagramme |
Fussnoten: | Auf dem Umschlag: "1st edition" |
ISBN: | 978-1-80512-789-5 |
Abstract: | Big data demands scalable solutions. This book delves into graph-based algorithms in Python that tackle massive datasets. Using code examples, youll be able to leverage these techniques for big data analytics |
URL: | Cover: https://www.dietmardreier.de/annot/426F6F6B446174617C7C393738313830353132373839357C7C434F50.jpg?sq=3 |
Sprache: | eng |
Sach-SW: | Artificial intelligence |
| COMPUTERS / Artificial Intelligence |
| COMPUTERS / Machine Theory |
| COMPUTERS / Programming Languages / Python |
| Künstliche Intelligenz |
| Machine learning |
| Maschinelles Lernen |
| Mathematical theory of computation |
| Programmier- und Skriptsprachen, allgemein |
| Programming & scripting languages: general |
| Theoretische Informatik |
K10plus-PPN: | 1891395823 |
978-1-80512-789-5
Modern graph theory algorithms with Python / Farrelly, Colleen M. [VerfasserIn]; June 2024
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