Graph-powered machine learning
I learned so much from this unique and comprehensive book. A real gem for anyone who wants to explore graph-powered ML apps. Helen Mary Labao-Barrameda, Okada Manila Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. In Graph-Pow...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, New York :
Manning Publications Co. LLC
[2021]
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| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634717606719 |
Tabla de Contenidos:
- 1. Machine learning and graphs : an introduction
- 2. Graph data engineering
- 3. Graphs in machine learning applications
- 4. Content-based recommendations
- 5. Collaborative filtering
- 6. Session-based recommendations
- 7. Context-aware and hybrid recommendations
- 8. Basic approaches to graph-powered fraud detection
- 9. Proximity-based algorithms
- 10. Social metwork analysis against fraud
- 11. Graph-based natural language processing
- 12. Knowledge graphs.
