---
title: "Alessandro Negro, Giuseppe Futia og Vlastimil Kus Knowledge Graphs and LLMs in Action"
ean: "9781633439894"
brand: "Alessandro Negro, Giuseppe Futia og Vlastimil Kus"
category: "Medier > Bøger > Trykte bøger"
price_min: 384
price_max: 384
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781633439894/knowledge-graphs-and-llms-in-action
last_checked: 2026-10-15
---

# Alessandro Negro, Giuseppe Futia og Vlastimil Kus Knowledge Graphs and LLMs in Action

EAN 9781633439894 · Mærke: Alessandro Negro, Giuseppe Futia og Vlastimil Kus · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Alessandro Negro, Giuseppe Futia og Vlastimil Kus Knowledge Graphs and LLMs in Action fra 1 forhandler. Billigste pris nu: 384 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781633439894/knowledge-graphs-and-llms-in-action

## Priser
- **Billigste pris nu:** 384 kr hos Saxo DK
- **Prisspænd:** 384 kr – 384 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 384 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Data overload, disconnected context, and stalled machine learning results are common frustrations for data teams. Even with vast datasets and advanced models, insights remain elusive when information is scattered and relationships are unclear. What if you could structure your data in a way that gives it meaning, connects the dots, and powers smarter, faster learning? By building knowledge graphs that integrate with large language models, you can transform disconnected information into actionable, context-rich intelligence that drives real results. Iterative top-down modeling: Aligns every graph decision with clear business questions. Ontology and taxonomy starters: Jump-start graph design from your existing structured data. Python code walk-throughs: Let you replicate techniques on day one, no guesswork. GNN and BERT integration: Upgrade graphs with deep learning for smarter reasoning and predictions. Real healthcare and policing cases: Prove scalability on messy, high-stakes datasets. Knowledge Graphs and LLMs in Action by GraphAware scientists Dr. Alessandro Negro and colleagues delivers a code-rich softcover reference that unites cutting-edge research with field-tested engineering practice. Starting with business questions, you model ontologies, import varied sources, then iteratively expand your graph. Later chapters layer GNNs, transformers, and reasoning algorithms, showing complete pipelines on full-scale datasets. You will leave with repeatable workflows, reusable code, and the confidence to connect fragmented data into intelligent, context-aware applications. Stop guessing; start delivering measurable machine learning impact.

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Priserne er sidst kontrolleret 2026-10-15.