Graph Data Science with Python and Neo4j : Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies /
Guía para dominar la ciencia de datos gráficos mediante el lenguaje de programación Python y la tecnología de base de datos Neo4j. Se explican conceptos fundamentales, así como técnicas de aprendizaje automático y aplicaciones prácticas. Se exploran modelos de lenguajes grandes (LLM) como ChatGPT, o...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Londres, Inglaterra :
Orange,
2024, c2024
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| Konular: | |
| Online Erişim: | Ver documento en línea |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
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Benzer Materyaller: Graph Data Science with Python and Neo4j :
- Graph Data Science with Neo4j : Learn How to Use Neo4j 5 with Graph Data Science Library 2.0 and Its Python Driver for Your Project /
- Hands-On Graph Analytics with Neo4j : Perform Graph Processing and Visualization Techniques Using Connected Data Across Your Enterprise /
- Object-Oriented Modeling and Design for Database Applications /
- Hands-On Data Preprocessing in Python : Learn How to Effectively Prepare Data for Successful Data Analytics /
- Graph Data Processing with Cyper : A Practical Guide to Building Graph Traversal Queries Using the Cypher Syntax on Neo4j /
- Database Design for Smarties : Using UML for Data Modeling /