BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Teaching Computers to Read
Effective Best Practices in Building Valuable NLP Solutions
Taylor & Francis Ltd
ISBN 978-1-03-248435-8
Standardpreis
Bibliografische Daten
Buch. Softcover
2025
67 s/w-Abbildungen, 5 s/w-Fotos, 62 s/w-Zeichnungen, 5 s/w-Tabelle.
In englischer Sprache
Umfang: 232 S.
Format (B x L): 15.6 x 23.4 cm
Verlag: Taylor & Francis Ltd
ISBN: 978-1-03-248435-8
Produktbeschreibung
Building Natural Language Processing (NLP) solutions that deliver ongoing business value is not straightforward. This book provides clarity and guidance on how to design, develop, deploy, and maintain NLP solutions that address real-world business problems.
In this book, we discuss the main challenges and pitfalls encountered when building NLP solutions. We also outline how technical choices interact with (and are impacted by) data, tools, the business goals, and integration between human experts and the AI solution. The best practices we cover here do not depend on the cutting-edge modeling algorithms or the architectural flavor of the month. We provide practical advice for NLP solutions that are adaptable to the solution’s specific technical building blocks.
Through providing best practices across the lifecycle of NLP development, this handbook will help organizations – particularly technical teams – use critical thinking to understand how, when, and why to build NLP solutions, what the common challenges are, and how to address or avoid them. By doing so, they'll deliver consistent value to their stakeholders and deliver on the promise of AI and NLP.
A code companion for the book is available here: https://github.com/TeachingComputersToRead/TC2R-CodeCompanion
In this book, we discuss the main challenges and pitfalls encountered when building NLP solutions. We also outline how technical choices interact with (and are impacted by) data, tools, the business goals, and integration between human experts and the AI solution. The best practices we cover here do not depend on the cutting-edge modeling algorithms or the architectural flavor of the month. We provide practical advice for NLP solutions that are adaptable to the solution’s specific technical building blocks.
Through providing best practices across the lifecycle of NLP development, this handbook will help organizations – particularly technical teams – use critical thinking to understand how, when, and why to build NLP solutions, what the common challenges are, and how to address or avoid them. By doing so, they'll deliver consistent value to their stakeholders and deliver on the promise of AI and NLP.
A code companion for the book is available here: https://github.com/TeachingComputersToRead/TC2R-CodeCompanion
Autorinnen und Autoren
Produktsicherheit
Hersteller
Libri GmbH
Europaallee 1
36244 Bad Hersfeld, DE
gpsr@libri.de
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