Isbn: 9781032657080 - natural language processing for business and organizations: research and innovation (12 resultados)

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  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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  • Idioma: Inglés

    Editorial: CRC Press, 2026

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    EUR 252,34

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  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    EUR 248,00

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    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    EUR 258,79

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    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 251,65

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  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032657081 / 9781032657080

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 240,33

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    Condición: New. Rachit Garg is an Assistant Professor in the AI and Data Science Department at SP Jain School of Global Management, UAE. He is an experienced specialist in Artificial Intelligence and Information Technology with a strong track record across academic, res.

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    EUR 323,17

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    Hardcover. Condición: Brand New. 200 pages. 9.18x6.12x9.45 inches. In Stock.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd (Sales) Jul 2026, 2026

    1032657081 / 9781032657080

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 460,01

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    Buch. Condición: Neu. Neuware - This book offers a comprehensive and application-oriented exploration of Artificial Intelligence (AI) and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. It is designed to equip readers with a deep understanding of how intelligent systems learn from data, interpret human language, and support automated decision-making across real-world contexts.Natural Language Processing for Business and Organizations: Research and Innovation covers key areas such as machine learning, deep learning, text representation, language modeling, information extraction, sentiment analysis, and AI-driven analytics, while also discussing system design considerations for deploying NLP solutions at scale. Through carefully structured chapters, the book integrates theoretical insights with practical examples, case studies, and applied workflows, enabling readers to translate algorithms and models into effective AI applications. Written by a team of academic researchers and industry practitioners, the book emphasizes responsible and value-driven AI, including ethical considerations, data quality, and model evaluation.This book is written for advanced undergraduate and postgraduate students, researchers, and professionals seeking to build, evaluate, and apply AI and NLP systems in academic, enterprise, and societal domains.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032657081 / 9781032657080

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 173,07

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    Hardcover. Condición: new. Hardcover. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence (AI) and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. It is designed to equip readers with a deep understanding of how intelligent systems learn from data, interpret human language, and support automated decision-making across real-world contexts.Natural Language Processing for Business and Organizations: Research and Innovation covers key areas such as machine learning, deep learning, text representation, language modeling, information extraction, sentiment analysis, and AI-driven analytics, while also discussing system design considerations for deploying NLP solutions at scale. Through carefully structured chapters, the book integrates theoretical insights with practical examples, case studies, and applied workflows, enabling readers to translate algorithms and models into effective AI applications. Written by a team of academic researchers and industry practitioners, the book emphasizes responsible and value-driven AI, including ethical considerations, data quality, and model evaluation.This book is written for advanced undergraduate and postgraduate students, researchers, and professionals seeking to build, evaluate, and apply AI and NLP systems in academic, enterprise, and societal domains. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032657081 / 9781032657080

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Condición: Nuevo

    EUR 166,26

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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: new. Hardcover. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence (AI) and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. It is designed to equip readers with a deep understanding of how intelligent systems learn from data, interpret human language, and support automated decision-making across real-world contexts.Natural Language Processing for Business and Organizations: Research and Innovation covers key areas such as machine learning, deep learning, text representation, language modeling, information extraction, sentiment analysis, and AI-driven analytics, while also discussing system design considerations for deploying NLP solutions at scale. Through carefully structured chapters, the book integrates theoretical insights with practical examples, case studies, and applied workflows, enabling readers to translate algorithms and models into effective AI applications. Written by a team of academic researchers and industry practitioners, the book emphasizes responsible and value-driven AI, including ethical considerations, data quality, and model evaluation.This book is written for advanced undergraduate and postgraduate students, researchers, and professionals seeking to build, evaluate, and apply AI and NLP systems in academic, enterprise, and societal domains. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032657081 / 9781032657080

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Condición: Nuevo

    EUR 220,91

    Envío por EUR 32,32 
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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: new. Hardcover. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence (AI) and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. It is designed to equip readers with a deep understanding of how intelligent systems learn from data, interpret human language, and support automated decision-making across real-world contexts.Natural Language Processing for Business and Organizations: Research and Innovation covers key areas such as machine learning, deep learning, text representation, language modeling, information extraction, sentiment analysis, and AI-driven analytics, while also discussing system design considerations for deploying NLP solutions at scale. Through carefully structured chapters, the book integrates theoretical insights with practical examples, case studies, and applied workflows, enabling readers to translate algorithms and models into effective AI applications. Written by a team of academic researchers and industry practitioners, the book emphasizes responsible and value-driven AI, including ethical considerations, data quality, and model evaluation.This book is written for advanced undergraduate and postgraduate students, researchers, and professionals seeking to build, evaluate, and apply AI and NLP systems in academic, enterprise, and societal domains. This book offers a comprehensive and application-oriented exploration of Artificial Intelligence and Natural Language Processing (NLP), addressing both foundational principles and modern, data-driven methodologies. 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.