Machine Learning and Knowledge Extraction (Paperback)

Lingua: inglese

Editore: Eliva Press, 2026

9999344712 / 9789999344715

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Venditore AbeBooks dal 22 giugno 2007

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Paperback. Machine learning is often presented as a set of algorithms, while knowledge extraction is often presented as a set of information retrieval or data mining techniques. In practice, the two fields meet in operational systems that must transform records, documents, images, events, and conversations into knowledge that people can understand and use. This book treats knowledge extraction as a full process rather than a single model. The process begins with the definition of a question and ends with a maintained knowledge product: a classification, a summary, a knowledge graph, a decision rule, a searchable index, a report, or an interface used in daily work. The chapters move from conceptual foundations to project execution. They discuss data sources, representation, supervised and unsupervised learning, natural language processing, knowledge graphs, evaluation, interpretability, deployment, and governance. The approach is practical and interdisciplinary. It recognizes that technical performance is important, but that extracted knowledge must also be useful, auditable, fair, and explainable. A project that cannot be trusted or maintained cannot be considered successful, even if its model scores appear strong. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Codice articolo 9789999344715

Titolo
Machine Learning and Knowledge Extraction (Paperback)
Autore
Elias Hartmann
Editore
Eliva Press
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Paperback
Lingua
inglese
ISBN 10
9999344712
ISBN 13
9789999344715

AussieBookSeller

Truganina, VIC, Australia

Venditore con 5 stelle

Venditore AbeBooks dal 22 giugno 2007

Tariffe di spedizione da Australia a U.S.A.

ArticoloDa 25 a 45 giorni lavorativiDa 8 a 14 giorni lavorativi
Primo articoloEUR 32,95EUR 39,19
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