Knickerbocker Network Science with Python

Explore the networks around us using network science, social network analysis, and machine learning
1. Auflage 2023
ISBN: 978-1-80107-521-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 414 Seiten

No detailed description available for "Network Science with Python".

Autoren/Hrsg.

Knickerbocker, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Introducing Natural Language Processing
- Network Analysis
- Useful Python Libraries
- NLP and Network Synergy
- Even Easier Scraping
- Graph Construction and Cleaning
- Whole Network Analysis
- Egocentric Network Analysis
- Community Detection
- Supervised Machine Learning on Network Data
- Unsupervised Machine Learning on Network Data

Über Autor(innen)

Knickerbocker David:

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.