Teaching Computers to Read (eBook, PDF)
Effective Best Practices in Building Valuable NLP Solutions
Versandkostenfrei!
Erscheint vor. 05.11.25
49,95 €
inkl. MwSt.
Unser Service für Vorbesteller - dein Vorteil ohne Risiko:
Sollten wir den Preis dieses Artikels vor dem Erscheinungsdatum senken, werden wir dir den Artikel bei der Auslieferung automatisch zum günstigeren Preis berechnen.
Weitere Ausgaben:
PAYBACK Punkte
25 °P sammeln!
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 artificial intelligence (AI) solution. The best practices we cover here do not depend on cu...
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 artificial intelligence (AI) solution. The best practices we cover here do not depend on 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 those challenges. These best practices help organizations 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 artificial intelligence (AI) solution. The best practices we cover here do not depend on 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 those challenges. These best practices help organizations 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
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
